WO2011034631A1 - Processes and compositions for methylation-based enrichment of fetal nucleic acid from a maternal sample useful for non invasive prenatal diagnoses - Google Patents

Processes and compositions for methylation-based enrichment of fetal nucleic acid from a maternal sample useful for non invasive prenatal diagnoses Download PDF

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Publication number
WO2011034631A1
WO2011034631A1 PCT/US2010/027879 US2010027879W WO2011034631A1 WO 2011034631 A1 WO2011034631 A1 WO 2011034631A1 US 2010027879 W US2010027879 W US 2010027879W WO 2011034631 A1 WO2011034631 A1 WO 2011034631A1
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nucleic acid
fetal
maternal
dna
fetal nucleic
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PCT/US2010/027879
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French (fr)
Inventor
Mathias Ehrich
Anders Olof Herman Nygren
Taylor Jacob Jensen
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Sequenom, Inc.
Sequenom Center For Molecular Medicine
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Application filed by Sequenom, Inc., Sequenom Center For Molecular Medicine filed Critical Sequenom, Inc.
Priority to IN3139DEN2012 priority Critical patent/IN2012DN03139A/en
Priority to EP10817598.5A priority patent/EP2478119B1/en
Priority to CA2774342A priority patent/CA2774342C/en
Priority to EP20155147.0A priority patent/EP3722440A1/en
Priority to AU2010295968A priority patent/AU2010295968B2/en
Priority to ES10817598.5T priority patent/ES2650666T3/en
Priority to JP2012529756A priority patent/JP5873434B2/en
Priority to EP17182863.5A priority patent/EP3330382B1/en
Priority to CN2010800527486A priority patent/CN102648292A/en
Publication of WO2011034631A1 publication Critical patent/WO2011034631A1/en

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    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6883Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
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    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6804Nucleic acid analysis using immunogens
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    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6806Preparing nucleic acids for analysis, e.g. for polymerase chain reaction [PCR] assay
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    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6809Methods for determination or identification of nucleic acids involving differential detection
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    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6879Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for sex determination
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6888Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/5308Immunoassay; Biospecific binding assay; Materials therefor for analytes not provided for elsewhere, e.g. nucleic acids, uric acid, worms, mites
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    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/154Methylation markers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • G01N2800/38Pediatrics
    • G01N2800/385Congenital anomalies

Definitions

  • the technology in part relates to prenatal diagnostics and enrichment methods.
  • Non-invasive prenatal testing is becoming a field of rapidly growing interest. Early detection of pregnancy-related conditions, including complications during pregnancy and genetic defects of the fetus is of crucial importance, as it allows early medical intervention necessary for the safety of both the mother and the fetus. Prenatal diagnosis has been conducted using cells isolated from the fetus through procedures such as chorionic villus sampling (CVS) or amniocentesis. However, these conventional methods are invasive and present an apprecia ble risk to both the mother and the fetus. The National Health Service currently cites a miscarriage rate of between 1 and 2 per cent following the invasive amniocentesis and chorionic villus sampling (CVS) tests.
  • CVS chorionic villus sampling
  • Circulating cell free fetal nucleic acid has several advantages making it more applica ble for non-invasive prenatal testing. For example, cell free nucleic acid is present at higher levels than fetal cells and at concentrations sufficient for genetic analysis. Also, cffNA is cleared from the maternal bloodstream within hours after delivery, preventing contamination from previous pregnancies.
  • Examples of prenatal tests performed by detecting fetal DNA in maternal plasma or serum include fetal rhesus D ( hD) genotyping (Lo et al., N. Engl. J. Med. 339:1734-1738, 1998), fetal sex determination (Costa et al., N. Engl. J. Med. 346: 1502, 2002), and diagnosis of several fetal disorders (Amicucci et al., Clin. Chem. 46:301-302, 2000; Saito et al., Lancet 356: 1170, 2000; and Chiu et al., Lancet 360:998-1000, 2002).
  • the invention provides inter alia human epigenetic biomarkers that are useful for the noninvasive detection of fetal genetic traits, including, but not limited to, the presence or absence of fetal nucleic acid, the absolute or relative amount of fetal nucleic acid, fetal sex, and fetal chromosomal
  • the human epigenetic biomarkers of the invention represent genomic DNA that display differential CpG methylation patterns between the fetus and mother.
  • the compositions and processes of the invention allow for the detection and quantification of fetal nucleic acid in a maternal sample based on the methylation status of the nucleic acid in said sample. More specifically, the amount of fetal nucleic acid from a maternal sample can be determined relative to the total amount of nucleic acid present, thereby providing the percentage of fetal nucleic acid in the sample.
  • the amount of fetal nucleic acid can be determined in a sequence-specific (or locus- specific) manner and with sufficient sensitivity to allow for accurate chromosomal dosage analysis (for example, to detect the presence or a bsence of a fetal aneuploidy).
  • a method for enriching fetal nucleic acids from a maternal biological sample, based on differential methylation between fetal and maternal nucleic acid comprising the steps of: (a) binding a target nucleic acid, from a sample, and a control nucleic acid, from the sample, to a methylation-specific binding protein; and (b) eluting the bound nucleic acid based on methylation status, wherein differentially methylated nucleic acids elute at least partly into separate fractions.
  • the nucleic acid sequence includes one or more of the polynucleotide sequences of SEQ ID NOs: 1-261. SEQ ID NOs: 1-261 are provided in Tables 4A-4C.
  • the invention includes the sequences of SEQ ID NOs: 1-261, and variations thereto.
  • a control nucleic acid is not included in step (a).
  • a method for enriching fetal nucleic acid from a maternal sample comprises the following steps: (a) obtaining a biological sample from a woman; (b) separating fetal and maternal nucleic acid based on the methylation status of a CpG-containing genomic sequence in the sample, wherein the genomic sequence from the fetus and the genomic sequence from the woman are differentially methylated, thereby distinguishing the genomic sequence from the woman and the genomic sequence from the fetus in the sample.
  • the genomic sequence is at least 15 nucleotides in length, comprising at least one cytosine, further wherein the region consists of (1) a genomic locus selected from Tables 1A-1C; and (2) a DNA sequence of no more than 10 kb upstream and/or downstream from the locus.
  • obtaining a biological sample from a woman is not meant to limit the scope of the invention. Said obtaining can refer to actually drawing a sample from a woman (e.g., a blood draw) or to receiving a sample from elsewhere (e.g., from a clinic or hospital) and performing the remaining steps of the method.
  • a method for enriching fetal nucleic acid from a maternal sample comprises the following steps: (a) obtaining a biological sample from the woman; (b) digesting or removing maternal nucleic acid based on the methylation status of a CpG-containing genomic sequence in the sample, wherein the genomic sequence from the fetus and the genomic sequence from the woman are differentially methylated, thereby enriching for the genomic sequence from the fetus in the sample.
  • Maternal nucleic acid may be digested using one or more methylation sensitive restriction enzymes that selectively digest or cleave maternal nucleic acid based on its methylation status.
  • the genomic sequence is at least 15 nucleotides in length, comprising at least one cytosine, further wherein the region consists of (1) a genomic locus selected from Tables 1A-1C; and (2) a DNA sequence of no more than 10 kb upstream and/or downstream from the locus.
  • a method for preparing nucleic acid having a nucleotide sequence of a fetal nucleic acid comprises the following steps: (a) providing a sample from a pregnant female; (b) separating fetal nucleic acid from maternal nucleic acid from the sample of the pregnant female according to a different methylation state between the fetal nucleic acid and the maternal nucleic acid counterpart, wherein the nucleotide sequence of the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1-261 within a polynucleotide sequence from a gene or locus that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261; and (c) preparing nucleic acid comprising a nucleotide sequence of the fetal nucleic acid by an amplification process in which fetal nucleic acid separated in part (b
  • a method for preparing nucleic acid having a nucleotide sequence of a fetal nucleic acid comprises the following steps: (a) providing a sample from a pregnant female; (b) digesting or removing maternal nucleic acid from the sample of the pregnant female according to a different methylation state between the fetal nucleic acid and the maternal nucleic acid counterpart, wherein the nucleotide sequence of the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1-261 within a polynucleotide sequence from a gene that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261; and (c) preparing nucleic acid comprising a nucleotide sequence of the fetal nucleic acid.
  • the preparing process of step (c) may be a hybridization process, a capture process, or an amplification process in which fetal nucleic acid separated in part (b) is utilized as a template.
  • the maternal nucleic acid may be digested using one or more methylation sensitive restriction enzymes that selectively digest or cleave maternal nucleic acid based on its methylation status.
  • the polynucleotide sequences of SEQ ID NOs: 1-261 may be within a polynucleotide sequence from a CpG island that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261.
  • polynucleotide sequences of SEQ ID NOs: 1-261 are further characterized in Tables 1-3 herein, including the identification of CpG islands that overlap with the polynucleotide sequences provided in SEQ ID NOs: 1-261.
  • the nucleic acid prepared by part (c) is in solution.
  • the method further comprises quantifying the fetal nucleic acid from the amplification process of step (c).
  • a method for enriching fetal nucleic acid from a sample from a pregnant female with respect to maternal nucleic acid comprises the following steps: (a) providing a sample from a pregnant female; and (b) separating or capturing fetal nucleic acid from maternal nucleic acid from the sample of the pregnant female according to a different methylation state between the fetal nucleic acid and the maternal nucleic acid, wherein the nucleotide sequence of the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1-261 within a polynucleotide sequence from a gene that contains one of the
  • polynucleotide sequences of SEQ ID NOs: 1-261 may be within a polynucleotide sequence from a CpG island that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261.
  • the polynucleotide sequences of SEQ ID NOs: 1-261 are characterized in Tables 1A-1C herein.
  • the nucleic acid separated by part (b) is in solution.
  • the method further comprises amplifying and/or quantifying the fetal nucleic acid from the separation process of step (b).
  • a composition comprising an isolated nucleic acid from a fetus of a pregnant female, wherein the nucleotide sequence of the nucleic acid comprises one or more of the polynucleotide sequences of SEQ ID NOs: 1-261.
  • the nucleotide sequence consists essentially of a nucleotide sequence of a gene, or portion thereof.
  • the nucleotide sequence consists essentially of a nucleotide sequence of a CpG island, or portion thereof.
  • the polynucleotide sequences of SEQ ID NOs: 1-261 are further characterized in Tables 1A-1C.
  • the nucleic acid is in solution.
  • the nucleic acid from the fetus is enriched relative to maternal nucleic acid.
  • the composition further comprises an agent that binds to methylated nucleotides.
  • the agent may be a methyl-CpG binding protein (MBD) or fragment thereof.
  • a composition comprising an isolated nucleic acid from a fetus of a pregnant female, wherein the nucleotide sequence of the nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1-261 within a
  • the nucleotide sequence of the nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1- 261 within a polynucleotide sequence from a CpG island, or portion thereof, that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261.
  • the polynucleotide sequences of SEQ ID NOs: 1-261 are further characterized in Tables 1A-1C.
  • the nucleic acid is in solution.
  • the nucleic acid from the fetus is enriched relative to maternal nucleic acid.
  • Hyper- and hypomethylated nucleic acid sequences of the invention are identified in Tables 1A-1C.
  • the composition further comprises an agent that binds to methylated nucleotides.
  • the agent may be a methyl-CpG binding protein (MBD) or fragment thereof.
  • a nucleotide sequence of the invention includes three or more of the CpG sites. In an embodiment, the nucleotide sequence includes five or more of the CpG sites. In an embodiment, the nucleotide sequence is from a gene region that comprises a P C2 domain (see Table 3). In an embodiment, the nucleotide sequence is from a gene region involved with development. For example, SOX14 - which is an epigenetic marker of the present invention (See Table 1) - is a member of the SOX (SRY-related HMG-box) family of transcription factors involved in the regulation of embryonic development and in the determination of cell fate.
  • the genomic sequence from the woman is methylated and the genomic sequence from the fetus is unmethylated. In other embodiments, the genomic sequence from the woman is unmethylated and the genomic sequence from the fetus is methylated. In an embodiment, the genomic sequence from the fetus is hypermethylated relative to the genomic sequence from the mother.
  • Fetal genomic sequences found to be hypermethylated relative to maternal genomic sequence are provided in SEQ ID NOs: 1-59, 90-163, 176, 179, 180, 184, 188, 189, 190, 191, 193, 195, 198, 199, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 221, 223, 225, 226, 231, 232, 233, 235, 239, 241, 257, 258, 259, and 261.
  • the genomic sequence from the fetus is hypomethylated relative to the genomic sequence from the mother.
  • Fetal genomic sequences found to be hypomethylated relative to maternal genomic sequence are provided in SEQ ID NOs: 60-85, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 181, 182, 183, 185, 186, 187, 192, 194, 196, 197, 204, 215, 216, 217, 218, 219, 220, 222, 224, 227, 228, 229, 230, 234, 236, 237, 238, 240, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, and 260.
  • Methylation sensitive restriction enzymes of the invention may be sensitive to hypo- or hyper- methylated nucleic acid.
  • the fetal nucleic acid is extracellular nucleic acid. Generally the extracellular fetal nucleic acid is about 500, 400, 300, 250, 200 or 150 (or any number there between) nucleotide bases or less. In an embodiment, the digested maternal nucleic acid is less than about 90, 100, 110, 120, 130, 140 or 150 base pairs. In a related embodiment, the fetal nucleic acid is selectively amplified, captured or separated from or relative to the digested maternal nucleic acid based on size.
  • PC primers may be designed to amplify nucleic acid greater than about 75, 80, 85, 90, 95, 100, 105, 110, 115 or 120 (or any number there between) base pairs thereby amplifying fetal nucleic acid and not digested maternal nucleic acid.
  • the nucleic acid is subjected to fragmentation prior to the methods of the invention. Examples of methods of fragmenting nucleic acid, include but are not limited to sonication and restriction enzyme digestion.
  • the fetal nucleic acid is derived from the placenta. In other embodiments the fetal nucleic acid is apoptotic.
  • the present invention provides a method in which the sample is a member selected from the following: maternal whole blood, maternal plasma or serum, amniotic fluid, a chorionic villus sample, biopsy material from a pre-implantation embryo, fetal nucleated cells or fetal cellular remnants isolated from maternal blood, maternal urine, maternal saliva, washings of the female reproductive tract and a sample obtained by celocentesis or lung lavage.
  • the biological sample is maternal blood.
  • the biological sample is a chorionic villus sample.
  • the maternal sample is enriched for fetal nucleic acid prior to the methods of the present invention. Examples of fetal enrichment methods are provided in PCT
  • all nucleated and anucleated cell populations are removed from the sample prior to practicing the methods of the invention.
  • the sample is collected, stored or transported in a manner known to the person of ordinary skill in the art to minimize degradation or the quality of fetal nucleic acid present in the sample.
  • the sample can be from any animal, including but not limited, human, non-human, mammal, reptile, cattle, cat, dog, goat, swine, pig, monkey, ape, gorilla, bull, cow, bear, horse, sheep, poultry, mouse, rat, fish, dolphin, whale, and shark, or any animal or organism that may have a detectable pregnancy- associated disorder or chromosomal abnormality.
  • the sample is treated with a reagent that differentially modifies methylated and unmethylated DNA.
  • the reagent may comprise bisulfite; or the reagent may comprise one or more enzymes that preferentially cleave methylated DNA; or the reagent may comprise one or more enzymes that preferentially cleave unmethylated DNA.
  • methylation sensitive restriction enzymes include, but are not limited to, Hhal and Hpall.
  • the fetal nucleic acid is separated from the maternal nucleic acid by an agent that specifically binds to methylated nucleotides in the fetal nucleic acid. In an embodiment, the fetal nucleic acid is separated or removed from the maternal nucleic acid by an agent that specifically binds to methylated nucleotides in the maternal nucleic acid counterpart. In an embodiment, the agent that binds to methylated nucleotides is a methyl-CpG binding protein (MBD) or fragment thereof.
  • MBD methyl-CpG binding protein
  • a method for determining the amount or copy number of fetal DNA in a maternal sample that comprises differentially methylated maternal and fetal DNA.
  • the method is performed by a) distinguishing between the maternal and fetal DNA based on differential methylation status; and b) quantifying the fetal DNA of step a).
  • the method comprises a) digesting the maternal DNA in a maternal sample using one or more methylation sensitive restriction enzymes thereby enriching the fetal DNA; and b) determining the amount of fetal DNA from step a).
  • the amount of fetal DNA can be used inter alia to confirm the presence or absence of fetal nucleic acid, determine fetal sex, diagnose fetal disease or a pregnancy-associated disorder, or be used in conjunction with other fetal diagnostic methods to improve sensitivity or specificity.
  • the method for determining the amount of fetal DNA does not require the use of a polymorphic sequence. For example, an allelic ratio is not used to quantify the fetal DNA in step b).
  • the method for determining the amount of fetal DNA does not require the treatment of DNA with bisulfite to convert cytosine residues to uracil.
  • determining the amount of fetal DNA in step b) is done by introducing one or more competitors at known concentrations. In an embodiment, determining the amount of fetal DNA in step b) is done by T-PC , primer extension, sequencing or counting. In a related embodiment, the amount of nucleic acid is determined using BEAMing technology as described in US Patent Publication No. US20070065823. In a another related embodiment, the amount of nucleic acid is determined using the shotgun sequencing technology described in US Patent Publication No. US20090029377 (US Application No. 12/178,181), or variations thereof.
  • the restriction efficiency is determined and the efficiency rate is used to further determine the amount of fetal DNA.
  • Exemplary differentially methylated nucleic acids are provided in SEQ ID NOs: 1-261.
  • a method for determining the concentration of fetal DNA in a maternal sample comprising a) determining the total amount of DNA present in the maternal sample; b) selectively digesting the maternal DNA in a maternal sample using one or more methylation sensitive restriction enzymes thereby enriching the fetal DNA; c) determining the amount of fetal DNA from step b); and d) comparing the amount of fetal DNA from step c) to the total amount of DNA from step a), thereby determining the concentration of fetal DNA in the maternal sample.
  • the concentration of fetal DNA can be used inter alia in conjunction with other fetal diagnostic methods to improve sensitivity or specificity.
  • the method for determining the amount of fetal DNA does not require the use of a polymorphic sequence. For example, an allelic ratio is not used to quantify the fetal DNA in step b).
  • the method for determining the amount of fetal DNA does not require the treatment of DNA with bisulfite to convert cytosine residues to uracil.
  • determining the amount of fetal DNA in step b) is done by introducing one or more competitors at known concentrations.
  • determining the amount of fetal DNA in step b) is done by T-PC , sequencing or counting.
  • the restriction efficiency is determined and used to further determine the amount of total DNA and fetal DNA.
  • Exemplary differentially methylated nucleic acids are provided in SEQ ID NOs: 1-261.
  • a method for determining the presence or absence of a fetal aneuploidy using fetal DNA from a maternal sample wherein the maternal sample comprises differentially methylated maternal and fetal DNA, comprising a) selectively digesting the maternal DNA in a maternal sample using one or more methylation sensitive restriction enzymes thereby enriching the fetal DNA; b) determining the amount of fetal DNA from a target chromosome; c) determining the amount of fetal DNA from a reference chromosome; and d) comparing the amount of fetal DNA from step b) to step c), wherein a biologically or statistically significant difference between the amount of target and reference fetal DNA is indicative of the presence of a fetal aneuploidy.
  • the method for determining the amount of fetal DNA does not require the use of a polymorphic sequence. For example, an allelic ratio is not used to quantify the fetal DNA in step b). In an embodiment, the method for determining the amount of fetal DNA does not require the treatment of DNA with bisulfite to convert cytosine residues to uracil. In one embodiment, determining the amount of fetal DNA in steps b) and c) is done by introducing one or more competitors at known concentrations. In an embodiment, determining the amount of fetal DNA in steps b) and c) is done by RT-PCR, sequencing or counting.
  • the amount of fetal DNA from a target chromosome determined in step b) is compared to a standard control, for example, the amount of fetal DNA from a target chromosome from euploid pregnancies.
  • the restriction efficiency is determined and used to further determine the amount of fetal DNA from a target chromosome and from a reference chromosome.
  • Exemplary differentially methylated nucleic acids are provided in SEQ ID NOs: 1-261.
  • a method for detecting the presence or absence of a chromosomal abnormality by analyzing the amount or copy number of target nucleic acid and control nucleic acid from a sample of differentially methylated nucleic acids comprising the steps of: (a) enriching a target nucleic acid, from a sample, and a control nucleic acid, from the sample, based on its methylation state; (b) performing a copy number analysis of the enriched target nucleic acid in at least one of the fractions; (c) performing a copy number analysis of the enriched control nucleic acid in at least one of the fractions; (d) comparing the copy number from step (b) with the copy number from step (c); and (e) determining if a chromosomal abnormality exists based on the comparison in step (d), wherein the target nucleic acid and control nucleic acid have the same or substantially the same methylation status.
  • a method for detecting the presence or absence of a chromosomal abnormality by analyzing the amount or copy number of target nucleic acid and control nucleic acid from a sample of differentially methylated nucleic acids comprising the steps of: (a) binding a target nucleic acid, from a sample, and a control nucleic acid, from the sample, to a binding agent; (b) eluting the bound nucleic acid based on methylation status, wherein differentially methylated nucleic acids elute at least partly into separate fractions; (c) performing a copy number analysis of the eluted target nucleic acid in at least one of the fractions; (d) performing a copy number analysis of the eluted control nucleic acid in at least one of the fractions; (e) comparing the copy number from step (c) with the copy number from step (d); and (f) determining if a chromosomal abnormality exists based on the comparison in step (e),
  • a method for detecting the presence or absence of a chromosomal abnormality by analyzing the allelic ratio of target nucleic acid and control nucleic acid from a sample of differentially methylated nucleic acids comprising the steps of: (a) binding a target nucleic acid, from a sample, and a control nucleic acid, from the sample, to a binding agent; (b) eluting the bound nucleic acid based on methylation status, wherein differentially methylated nucleic acids elute at least partly into separate fractions; (c) performing an allelic ratio analysis of the eluted target nucleic acid in at least one of the fractions; (d) performing an allelic ratio analysis of the eluted control nucleic acid in at least one of the fractions; (e) comparing the allelic ratio from step c with the all from step d; and (f) determining if a chromosomal abnormality exists based on the comparison in step
  • the amount of maternal nucleic acid is determined using the methylation-based methods of the invention.
  • fetal nucleic acid can be separated (for example, digested using a methylation-sensitive enzyme) from the maternal nucleic acid in a sample, and the maternal nucleic acid can be quantified using the methods of the invention.
  • the amount of maternal nucleic acid is determined, that amount can subtracted from the total amount of nucleic acid in a sample to determine the amount of fetal nucleic acid.
  • the amount of fetal nucleic acid can be used to detect fetal traits, including fetal aneuploidy, as described herein.
  • the methods may also be useful for detecting a pregnancy-associated disorder.
  • the sample comprises fetal nucleic acid, or fetal nucleic acid and maternal nucleic acid.
  • the fetal nucleic acid and the maternal nucleic acid may have a different methylation status. Nucleic acid species with a different methylation status can be differentiated by any method known in the art.
  • the fetal nucleic acid is enriched by the selective digestion of maternal nucleic acid by a methylation sensitive restriction enzyme.
  • the fetal nucleic acid is enriched by the selective digestion of maternal nucleic acid using two or more methylation sensitive restriction enzymes in the same assay.
  • the target nucleic acid and control nucleic acid are both from the fetus.
  • the average size of the fetal nucleic acid is about 100 bases to about 500 bases in length.
  • the chromosomal abnormality is an aneuploidy, such as trisomy 21.
  • the target nucleic acid is at least a portion of a chromosome which may be abnormal and the control nucleic acid is at least a portion of a chromosome which is very rarely abnormal.
  • the control nucleic acid is from a chromosome other than chromosome 21 - preferably another autosome.
  • the binding agent is a methylation-specific binding protein such as MBD-Fc.
  • the enriched or eluted nucleic acid is amplified and/or quantified by any method known in the art.
  • the fetal DNA is quantified using a method that does not require the use of a polymorphic sequence. For example, an allelic ratio is not used to quantify the fetal DNA.
  • the method for quantifying the amount of fetal DNA does not require the treatment of DNA with bisulfite to convert cytosine residues to uracil.
  • the methods of the invention include the additional step of determining the amount of one or more Y-chromosome-specific sequences in a sample.
  • the amount of fetal nucleic acid in a sample as determined by using the methylation-based methods of the invention is compared to the amount of Y-chromosome nucleic acid present.
  • Methods for differentiating nucleic acid based on methylation status include, but are not limited to, methylation sensitive capture, for example using, MBD2-Fc fragment; bisulfite conversion methods, for example, MSP (methylation-sensitive PC ), COBRA, methylation-sensitive single nucleotide primer extension (Ms-SNuPE) or Sequenom MassCLEAVETM technology; and the use of methylation sensitive restriction enzymes.
  • MSP methylation-sensitive PC
  • COBRA methylation-sensitive single nucleotide primer extension
  • Sequenom MassCLEAVETM technology Sequenom MassCLEAVETM technology
  • any method for differentiating nucleic acid based on methylation status can be used with the compositions and methods of the invention.
  • methods of the invention may further comprise an amplification step.
  • the amplification step can be performed by PCR, such as methylation-specific PCR.
  • the amplification reaction is performed on single molecules, for example, by digital PCR, which is further described in US Patent Nos 6,143,496 and 6,440,706, both of which are hereby incorporated by reference.
  • the method does not require amplification.
  • the amount of enriched fetal DNA may be determined by counting the fetal DNA (or sequence tags attached thereto) with a flow cytometer or by sequencing means that do not require amplification.
  • the amount of fetal DNA is determined by an amplification reaction that generates amplicons larger than the digested maternal nucleic acid, thereby further enriching the fetal nucleic acid.
  • the fetal nucleic acid (alone or in combination with the maternal nucleic acid) comprises one or more detection moieties.
  • the detection moiety may be any one or more of a compomer, sugar, peptide, protein, antibody, chemical compound (e.g., biotin), mass tag (e.g., metal ions or chemical groups), fluorescent tag, charge tag (e.g., such as polyamines or charged dyes) and hydrophobic tag.
  • the detection moiety is a mass-distinguishable product (MDP) or part of an MDP detected by mass spectrometry.
  • the detection moiety is a fluorescent tag or label that is detected by mass spectrometry.
  • the detection moiety is at the 5' end of a detector oligonucleotide, the detection moiety is attached to a non-complementary region of a detector oligonucleotide, or the detection moiety is at the 5' terminus of a non-complementary sequence.
  • the detection moiety is incorporated into or linked to an internal nucleotide or to a nucleotide at the 3' end of a detector oligonucleotide.
  • one or more detection moieties are used either alone or in combination. See for example US Patent Applications US20080305479 and US20090111712.
  • a detection moiety is cleaved by a restriction endonuclease, for example, as described in US Application No. 12/726,246.
  • a specific target chromosome is labeled with a specific detection moiety and one or more non-target chromosomes are labeled with a different detection moiety, whereby the amount target chromsome can be compared to the amount of non- target chromosome.
  • any one of the following sequencing technologies may be used: a primer extension method (e.g., iPLEX ® ; Sequenom, Inc.), direct DNA sequencing, restriction fragment length polymorphism (RFLP analysis), real-time PCR, for example using "STAR" (Scalable Transcription Analysis Routine) technology (see US Patent No.
  • Nanopore-based methods may include sequencing nucleic acid using a nanopore, or counting nucleic acid molecules using a nanopore, for example, based on size wherein sequence information is not determined.
  • the absolute copy number of one or more nucleic acids can be determined, for example, using mass spectrometry, a system that uses a competitive PCR approach for absolute copy number measurements. See for example, Ding C, Cantor CR (2003) A high-throughput gene expression analysis technique using competitive PCR and matrix-assisted laser desorption ionization time-of-flight MS. Proc Natl Acad Sci U S A 100:3059-3064, and US Patent Application No. 10/655762, which published as US Patent Publication No. 20040081993, both of which are hereby incorporated by reference.
  • the amount of the genomic sequence is compared with a standard control, wherein an increase or decrease from the standard control indicates the presence or progression of a pregnancy-associated disorder.
  • the amount of fetal nucleic acid may be compared to the total amount of DNA present in the sample.
  • the amount of fetal nucleic acid from target chromosome may be compared to the amount of fetal nucleic acid from a reference chromosome.
  • the reference chromosome is another autosome that has a low rate of aneuploidy.
  • the ratio of target fetal nucleic acid to reference fetal nucleic acid may be compared to the same ratio from a normal, euploid pregnancy.
  • a control ratio may be determined from a DNA sample obtained from a female carrying a healthy fetus who does not have a chromosomal abnormality.
  • chromosome anomalies are known, one can also have standards that are indicative of a specific disease or condition.
  • a panel of control DNAs that have been isolated from mothers who are known to carry a fetus with, for example, chromosome 13, 18, or 21 trisomy, and a mother who is pregnant with a fetus who does not have a chromosomal abnormality.
  • the present invention provides a method in which the alleles from the target nucleic acid and control nucleic acid are differentiated by sequence variation.
  • the sequence variation may be a single nucleotide polymorphism (SNP) or an insertion/deletion polymorphism.
  • the fetal nucleic acid should comprise at least one high frequency heterozygous polymorphism (e.g., about 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20%, 25% or more frequency rate), which allows the determination of the allelic-ratio of the nucleic acid in order to assess the presence or absence of the chromosomal abnormality.
  • a list of exemplary SNPs is provided in Table 2, however, this does not represent a complete list of polymorphic alleles that can be used as part of the invention.
  • any SNP meeting the following criteria may also be considered: (a) the SNP has a heterozygosity frequency greater than about 2% (preferably across a range of different populations), (b) the SNP is a heterozygous locus; and (c)(i) the SNP is within nucleic acid sequence described herein, or (c)(iii) the SNP is within about 5 to about 2000 base pairs of a SNP described herein (e.g., within about 5, 10, 15, 20, 25, 30, 40, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1250, 1500, 1750 or 2000 base pairs of a SNP described herein).
  • the sequence variation is a short tandem repeat (ST ) polymorphism.
  • the sequence variation falls in a restriction site, whereby one allele is susceptible to digestion by a restriction enzyme and the one or more other alleles are not.
  • the sequence variation is a methylation site.
  • performing an allelic ratio analysis comprises determining the ratio of alleles of the target nucleic acid and control nucleic acid from the fetus of a pregnant woman by obtaining an nucleic acid-containing biological sample from the pregnant woman, wherein the biological sample contains fetal nucleic acid, partially or wholly separating the fetal nucleic acid from the maternal nucleic acid based on differential methylation, discriminating the alleles from the target nucleic acid and the control nucleic acid, followed by determination of the ratio of the alleles, and detecting the presence or absence of a chromosomal disorder in the fetus based on the ratio of alleles, wherein a ratio above or below a normal, euploid ratio is indicative of a chromosomal disorder.
  • the target nucleic acid is from a suspected aneuploid chromosome (e.g., chromosome 21) and the control nucleic acid is from a euploid chromosome from a suspected aneup
  • the present invention is combined with other fetal markers to detect the presence or a bsence of multiple chromosomal abnormalities, wherein the chromosomal abnormalities are selected from the following: trisomy 21, trisomy 18 and trisomy 13, or combinations thereof.
  • the chromosomal disorder involves the X chromosome or the Y chromosome.
  • the compositions or processes may be multiplexed in a single reaction.
  • the amount of fetal nucleic acid may be determined at multiple loci across the genome.
  • the amount of fetal nucleic acid may be determined at multiple loci on one or more target chromosomes (e.g., chromosomes 13, 18 or 21) and on one or more reference chromosomes. If an allelic ratio is being used, one or more alleles from Table 2 can be detected and discriminated simultaneously. When determining allelic ratios, multiplexing embodiments are particularly important when the genotype at a polymorphic locus is not known.
  • the assay may not be informative. In one embodiment, greater than 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 50, 100, 200, 300 or 500, and any intermediate levels,
  • polynucleotide sequences of the invention are enriched, separated and/or examined according the methods of the invention.
  • detecting a chromosomal abnormality by analyzing the copy number of target nucleic acid and control nucleic acid less than 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, or 14 polynucleotide sequences may need to be analyzed to accurately detect the presence or absence of a chromosomal abnormality.
  • the compositions or processes of the invention may be used to assay samples that have been divided into 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 50, 100 or more replicates, or into single molecule equivalents.
  • the present invention provides a method wherein a comparison step shows an increased risk of a fetus having a chromosomal disorder if the ratio of the alleles or absolute copy number of the target nucleic acid is higher or lower by 1 standard deviation from the standard control sequence.
  • the comparison step shows an increased risk of a fetus having a chromosomal disorder if the ratio of the alleles or absolute copy number of the target nucleic acid is higher or lower by 2 standard deviation from the standard control sequence. In some other embodiments, the comparison step shows an increased risk of a fetus having a chromosomal disorder if the ratio of the alleles or absolute copy number of the target nucleic acid is higher or lower by 3 standard deviation from the standard control sequence. In some embodiments, the comparison step shows an increased risk of a fetus having a chromosomal disorder if the ratio of the alleles or absolute copy number of the target nucleic acid is higher or lower than a statistically significant standard deviation from the control. In one embodiment, the standard control is a maternal reference, and in an embodiment the standard control is a fetal reference chromosome (e.g., non-trisomic autosome).
  • the standard control is a maternal reference
  • the standard control is a fetal
  • the methods of the invention may be combined with other methods for diagnosing a chromosomal abnormality.
  • a noninvasive diagnostic method may require confirmation of the presence or absence of fetal nucleic acid, such as a sex test for a female fetus or to confirm an hD negative female fetus in an RhD negative mother.
  • the compositions and methods of the invention may be used to determine the percentage of fetal nucleic acid in a maternal sample in order to enable another diagnostic method that requires the percentage of fetal nucleic acid be known. For example, does a sample meet certain threshold concentration
  • the amount or concentration of fetal nucleic acid may be required to make a diagnose with a given sensitivity and specificity.
  • the compositions and methods of the invention for detecting a chromosomal abnormality can be combined with other known methods thereby improving the overall sensitivity and specificity of the detection method.
  • an increased risk for a chromosomal abnormality is based on the outcome or result(s) produced from the compositions or methods provided herein.
  • An example of an outcome is a deviation from the euploid absolute copy number or allelic ratio, which indicates the presence of chromosomal aneuploidy. This increase or decrease in the absolute copy number or ratio from the standard control indicates an increased risk of having a fetus with a chromosomal abnormality (e.g., trisomy 21).
  • Information pertaining to a method described herein, such as an outcome, result, or risk of trisomy or aneuploidy, for example, may be transfixed, renditioned, recorded and/or displayed in any suita ble medium.
  • an outcome may be transfixed in a medium to save, store, share, commu nicate or otherwise analyze the outcome.
  • a medium can be ta ngible (e.g., paper) or intangible (e.g., electronic medium), and examples of media include, but are not limited to, computer media, data bases, charts, patient charts, records, patient records, graphs and tables, a nd any other medium of expression.
  • the information sometimes is stored and/or renditioned in computer reada ble form and sometimes is stored and organized in a data base.
  • the information may be transferred from one location to another using a physical medium (e.g., paper) or a computer reada ble medium (e.g., optical and/or magnetic storage or transmission medium, floppy disk, hard disk, random access memory, computer processing unit, facsimile signal, satellite signal, transmission over an internet or transmission over the world-wide web).
  • a physical medium e.g., paper
  • a computer reada ble medium e.g., optical and/or magnetic storage or transmission medium, floppy disk, hard disk, random access memory, computer processing unit, facsimile signal, satellite signal, transmission over an internet or transmission over the world-wide web.
  • a CpG island may be used as the CpG-containing genomic sequence in some cases, whereas in other cases the CpG-containing genomic sequence may not be a CpG island.
  • the present invention provides a kit for performing the methods of the invention.
  • One component of the kit is a methylation-sensitive binding agent.
  • FIGURE 1 Shows the design of the recombinant M BD-Fc protein used to separate differentially methylated DNA.
  • FIGURE 2 Shows the methyl-CpG-binding, antibody-like protein has a high affinity and high avidity to its "antigen", which is prefera bly DNA that is methylated at CpG di-nucleotides.
  • FIGURE 3 Shows the methyl binding domain of M BD-FC binds all DNA molecules regardless of their methylation status. The strength of this protein/DNA interaction is defined by the level of DNA methylation. After binding genomic DNA, eluate solutions of increasing salt concentrations can be used to fractionate non-methylated a nd methylated DNA allowing for a controlled separation.
  • FIGURE 4 Shows the experiment used to identify differentially methylated DNA from a fetus and mother using the recom binant M BD-Fc protein and a microarray.
  • FIGURE 5 Shows typical results generated by Sequenom ® EpiTYPERTM method, which was used to validate the results generated from the experiment illustrated in Figure 4.
  • FIGURE 6 Shows the correlation between the log ratios derived from microarray analysis (x axis) and methylation differences obtained by EpiTYPER analysis (y axis). Each data point represents the average for one region across all measured samples.
  • the microarray analysis is comparative in nature because the highly methylated fraction of the maternal DNA is hybridized together with the highly methylated fraction of placenta DNA. Positive values indicate higher methylation of the placenta samples. In mass spectrometry each samples is measured individually. We first calculated difference in methylation by subtracting the maternal methylation values from the placenta methylation value. To compare the results with the microarray data we calculated the average of the differences for all maternal / placenta DNA pairs.
  • FIGURE 8 Shown is the correlation between the number of gDNA molecules that were expected and the number of molecules measured by competitive PCR in combination with mass spectrometry analysis.
  • DNA derived from whole blood (black plus signs) and commercially available fully methylated DNA(red crosses) in a 90 to 10 ratio.
  • MBD-FC fusion protein to separate the non-methylated and the methylated fraction of DNA. Each fraction was subject to competitive PCR analysis with mass spectrometry readout.
  • the method has been described earlier for the analysis of copy number variations and is commercially available for gene expression analysis. The approach allows absolute quantification of DNA molecules with the help of a synthetic oligonucleotides of know concentration.
  • FIGURE 9A-9C Shown are bar graph plots of the methylation differences obtained from the microarray analysis (dark bars) and the mass spectrometry analysis (light grey bars) with respect to their genomic location.
  • the x axis for each plot shows the chromosomal position of the region.
  • the y axis depicts the log ration (in case of the microarrays) and the methylation differences (in case of the mass spectrometry results).
  • each hybridization probe in the area is shown as a single black (or dark grey) bar.
  • Bars showing values greater than zero indicate higher DNA methylation in the placenta samples compared to the maternal DNA. For some genes the differences are small (i.e. RBI or DSCR6) but still statistically significant. Those regions would be less suitable for a fetal DNA enrichment strategy.
  • FIGURE 10 Shows one embodiment of the Fetal Quantifier Method. Maternal nucleic acid is selectively digested and the remaining fetal nucleic acid is quantified using a competitor of known concentration. In this schema, the analyte is separated and quantified by a mass spectromter.
  • FIGURE 11 Shows one embodiment of the Methylation-Based Fetal Diagnostic Method.
  • Maternal nucleic acid is selectively digested and the remaining fetal nucleic acid is quantified for three different chromosomes (13, 18 and 21).
  • Parts 2 and 3 of the Figure illustrate the size distribution of the nucleic acid in the sample before and after digestion.
  • the amplification reactions can be size-specific (e.g., greater than 100 base pair amplicons) such that they favor the longer, non-digested fetal nucleic acid over the digested maternal nucleic acid, thereby further enriching the fetal nucleic acid.
  • the spectra at the bottom of the Figure show an increased amount of chromosome 21 fetal nucleic acid indicative of trisomy 21.
  • FIGURE 12 Shows the total number of amplifiable genomic copies from four different DNA samples isolated from the blood of non-pregnant women. Each sample was diluted to contain approximately 2500, 1250, 625 or 313 copies per reaction. Each measurement was obtained by taking the mean DNA/competitor ratio obtained from two total copy number assays (ALB and RNAseP in Table X). As Figure 12 shows, the total copy number is accurate and stable across the different samples, thus validating the usefulness of the competitor-based approach.
  • FIGURES 13A and B A model system was created that contained a constant number of maternal non- methylated DNA with varying amounts of male placental methylated DNA spiked-in. The samples were spiked with male placental amounts ranging from approximately 0 to 25% relative to the maternal non- methylated DNA. The fraction of placental DNA was calculated using the ratios obtained from the methylation assays ( Figure 13A) and the Y-chromosome marker ( Figure 13B) as compared to the total copy number assay. The methylation and Y-chromosome markers are provided in Table X.
  • FIGURES 14 A and B Show the results of the total copy number assay from plasma samples.
  • Figure 14A the copy number for each sample is shown. Two samples (no 25 and 26) have a significantly higher total copy number than all the other samples. A mean of approximately 1300 amplifiable copies/ml plasma was obtained (range 766-2055).
  • Figure 14B shows a box-and-whisker plot of the given values, summarizing the results.
  • FIGURES 15A and B The amount (or copy numbers) of fetal nucleic acid from 33 different plasma samples taken from pregnant women with male fetuses are plotted. The copy numbers obtained were calculated using the methylation markers and the Y-chromosome-specific markers using the assays provided in Table X. As can be seen in Figure 15B, the box-and-whisker plot of the given values indicated minimal difference between the two different measurements, thus validating the accuracy and stability of the method.
  • FIGURE 16 Shows a paired correlation between the results obtained using the methylation markers versus the Y-chromosome marker from Figure 15A.
  • FIGURE 17 Shows the digestion efficiency of the restriction enzymes using the ratio of digestion for the control versus the competitor and comparing this value to the mean total copy number assays. Apart from sample 26 all reactions indicate the efficiency to be above about 99%.
  • FIGURE 18 Provides a specific method for calculating fetal DNA fraction (or concentration) in a sample using the Y-chromosome-specific markers for male pregnancies and the mean of the methylated fraction for all pregnancies (regardless of fetal sex).
  • FIGURE 19 Provides a specific method for calculating fetal DNA fraction (or concentration) in a sample without the Y-chromosome-specific markers. Instead, only the Assays for Methylation Quantification were used to determine the concentration of fetal DNA.
  • FIGURE 20 Shows a power calculation t-test for a simulated trisomy 21 diagnosis using the methods of the invention. The Figure shows the relationship between the coefficient of variation (CV) on the x-axis and the power to discriminate the assay populations using a simple t-test (y-axis). The data indicates that in 99% of all cases, one can discriminate the two population (euploid vs. aneuploid) on a significance level of 0.001 provided a CV of 5% or less.
  • CV coefficient of variation
  • pregnancy-associated disorder refers to any condition or disease that may affect a pregnant woman, the fetus, or both the woman and the fetus. Such a condition or disease may manifest its symptoms during a limited time period, e.g., during pregnancy or delivery, or may last the entire life span of the fetus following its birth.
  • a pregnancy-associated disorder include ectopic pregnancy, preeclampsia, preterm labor, RhD incompatibility, fetal
  • compositions and processes described herein are particularly useful for diagnosis, prognosis and monitoring of pregnancy-associated disorders associated with quantitative a bnormalities of fetal DNA in maternal plasma/serum, including but not limited to, preeclampsia (Lo et al., Clin. Chem. 45:184-188, 1999 and Zhong et al., Am. J. Obstet.
  • Gynecol. 184:414-419, 2001 fetal trisomy (Lo et al., Clin. Chem. 45:1747-1751, 1999 and Zhong et al., Prenat. Diagn. 20:795-798, 2000) and hyperemesis gravidarum (Sekizawa et al., Clin. Chem. 47:2164- 2165, 2001).
  • an elevated level of fetal nucleic acid in maternal blood (as compared to a normal pregnancy or pregnancies) may be indicative of a preeclamptic preganancy.
  • the ability to enrich fetal nucleic from a maternal sample may prove particularly useful for the noninvasive prenatal diagnosis of autosomal recessive diseases such as the case when a mother and father share an identical disease causing mutation, an occurrence previously perceived as a challenge for maternal plasma-based non-trisomy prenatal diagnosis.
  • chromosomal abnormality or "aneuploidy” as used herein refers to a deviation between the structure of the subject chromosome and a normal homologous chromosome.
  • normal refers to the predominate karyotype or banding pattern found in healthy individuals of a particular species, for example, a euploid genome (in humans, 46XX or 46XY).
  • a chromosomal abnormality can be numerical or structural, and includes but is not limited to aneuploidy, polyploidy, inversion, a trisomy, a monosomy, duplication, deletion, deletion of a part of a chromosome, addition, addition of a part of chromosome, insertion, a fragment of a chromosome, a region of a chromosome, chromosomal rearrangement, and translocation.
  • Chromosomal abnormality may also refer to a state of chromosomal abnormality where a portion of one or more chromosomes is not an exact multiple of the usual haploid number due to, for example, chromosome translocation.
  • Chromosomal translocation e.g.
  • a chromosomal abnormality can be correlated with presence of a pathological condition or with a predisposition to develop a pathological condition.
  • a chromosomal abnormality may be detected by quantitative analysis of nucleic acid.
  • nucleic acid and “nucleic acid molecule” may be used interchangea bly throughout the disclosure.
  • nucleic acids of any composition from, such as DNA (e.g., complementary DNA (cDNA), genomic DNA (gDNA) and the like), RNA (e.g., message RNA (mRNA), short inhibitory RNA (siRNA), ribosomal RNA (rRNA), tRNA, microRNA, RNA highly expressed by the fetus or placenta, and the like), and/or DNA or RNA analogs (e.g., containing base analogs, sugar analogs and/or a non-native backbone and the like), RNA/DNA hybrids and polyamide nucleic acids (PNAs), all of which can be in single- or dou ble-stranded form, and unless otherwise limited, can encompass known analogs of natural nucleotides that can function in a similar manner as naturally occurring nucleotides.
  • DNA e.g., complementary DNA (cDNA), genomic DNA (gDNA) and the like
  • RNA e.g., message RNA (mRNA), short inhibitory
  • nucleic acids provided in SEQ ID NOs: 1-261 can be in any form useful for conducting processes herein (e.g., linear, circular, supercoiled, single-stranded, double-stranded and the like) or may include variations (e.g., insertions, deletions or substitutions) that do not alter their utility as part of the present invention.
  • a nucleic acid may be, or may be from, a plasmid, phage, autonomously replicating sequence (ARS), centromere, artificial chromosome, chromosome, or other nucleic acid able to replicate or be replicated in vitro or in a host cell, a cell, a cell nucleus or cytoplasm of a cell in certain embodiments.
  • a template nucleic acid in some embodiments can be from a single chromosome (e.g., a nucleic acid sample may be from one chromosome of a sample obtained from a diploid organism).
  • nucleic acids containing known analogs of natural nucleotides that have similar binding properties as the reference nucleic acid and are metabolized in a manner similar to naturally occurring nucleotides Unless otherwise indicated, a particular nucleic acid sequence also implicitly encompasses conservatively modified variants thereof (e.g., degenerate codon substitutions), alleles, orthologs, single nucleotide polymorphisms (SNPs), and complementary sequences as well as the sequence explicitly indicated.
  • degenerate codon substitutions may be achieved by generating sequences in which the third position of one or more selected (or all) codons is substituted with mixed-base and/or deoxyinosine residues (Batzer et al., Nucleic Acid Res. 19:5081 (1991); Ohtsuka et al., J. Biol. Chem. 260:2605-2608 (1985); and Rossolini et al., Mol. Cell. Probes 8:91- 98 (1994)).
  • the term nucleic acid is used interchangeably with locus, gene, cDNA, and mRNA encoded by a gene.
  • RNA or DNA synthesized from nucleotide analogs single-stranded ("sense” or “antisense”, “plus” strand or “minus” strand, "forward” reading frame or “reverse” reading frame) and double-stranded polynucleotides.
  • Deoxyribonucleotides include deoxyadenosine, deoxycytidine, deoxyguanosine and deoxythymidine.
  • the base cytosine is replaced with uracil.
  • a template nucleic acid may be prepared using a nucleic acid obtained from a subject as a template.
  • a "nucleic acid comprising one or more CpG sites” or a "CpG-containing genomic sequence” as used herein refers to a segment of DNA sequence at a defined location in the genome of an individual such as a human fetus or a pregnant woman.
  • a "CpG-containing genomic sequence” is at least 15 nucleotides in length and contains at least one cytosine.
  • it can be at least 30, 50, 80, 100, 150, 200, 250, or 300 nucleotides in length and contains at least 2, 5, 10, 15, 20, 25, or 30 cytosines.
  • CpG-containing genomic sequence at a given location, e.g., within a region centering around a given genetic locus (see Tables 1A-1C), nucleotide sequence variations may exist from individual to individual and from allele to allele even for the same individual.
  • a region centering around a defined genetic locus e.g., a CpG island
  • Each of the upstream or downstream sequence (counting from the 5' or 3' boundary of the genetic locus, respectively) can be as long as 10 kb, in other cases may be as long as 5 kb, 2 kb, 1 kb, 500 bp, 200 bp, or 100 bp.
  • a "CpG-containing genomic sequence” may encompass a nucleotide sequence transcribed or not transcribed for protein production, and the nucleotide sequence can be an inter-gene sequence, intra-gene sequence, protein-coding sequence, a non protein-coding sequence (such as a transcription promoter), or a combination thereof.
  • a "methylated nucleotide” or a “methylated nucleotide base” refers to the presence of a methyl moiety on a nucleotide base, where the methyl moiety is not present in a recognized typical nucleotide base.
  • cytosine does not contain a methyl moiety on its pyrimidine ring, but 5- methylcytosine contains a methyl moiety at position 5 of its pyrimidine ring. Therefore, cytosine is not a methylated nucleotide and 5-methylcytosine is a methylated nucleotide.
  • thymine contains a methyl moiety at position 5 of its pyrimidine ring, however, for purposes herein, thymine is not considered a methylated nucleotide when present in DNA since thymine is a typical nucleotide base of DNA.
  • Typical nucleoside bases for DNA are thymine, adenine, cytosine and guanine.
  • Typical bases for NA are uracil, adenine, cytosine and guanine.
  • a "methylation site" is the location in the target gene nucleic acid region where methylation has, or has the possibility of occurring. For example a location containing CpG is a methylation site wherein the cytosine may or may not be methylated.
  • a "CpG site” or “methylation site” is a nucleotide within a nucleic acid that is susceptible to methylation either by natural occurring events in vivo or by an event instituted to chemically methylate the nucleotide in vitro.
  • a "methylated nucleic acid molecule” refers to a nucleic acid molecule that contains one or more methylated nucleotides that is/are methylated.
  • CpG island as used herein describes a segment of DNA sequence that comprises a functionally or structurally deviated CpG density.
  • Yamada et al. (Genome Research 14:247-266, 2004) have described a set of standards for determining a CpG island: it must be at least 400 nucleotides in length, has a greater than 50% GC content, and an OCF/ECF ratio greater than 0.6.
  • Others (Takai et al., Proc. Natl. Acad. Sci. U.S.A. 99:3740-3745, 2002) have defined a CpG island less stringently as a sequence at least 200 nucleotides in length, having a greater than 50% GC content, and an OCF/ECF ratio greater than 0.6.
  • epigenetic state refers to any structural feature at a molecular level of a nucleic acid (e.g., DNA or RNA) other than the primary nucleotide sequence.
  • a nucleic acid e.g., DNA or RNA
  • the epigenetic state of a genomic DNA may include its secondary or tertiary structure determined or influenced by, e.g., its methylation pattern or its association with cellular proteins.
  • methylation profile refers to the characteristics of a DNA segment at a particular genomic locus relevant to methylation. Such characteristics include, but are not limited to, whether any of the cytosine (C) residues within this DNA sequence are methylated, location of methylated C residue(s), percentage of methylated C at any particular stretch of residues, and allelic differences in methylation due to, e.g., difference in the origin of the alleles.
  • methylation profile” or “methylation status” also refers to the relative or absolute concentration of methylated C or unmethylated C at any particular stretch of residues in a biological sample. For example, if the cytosine (C) residue(s) within a DNA sequence are methylated it may be referred to as "hypermethylated";
  • cytosine (C) residue(s) within a DNA sequence are not methylated it may be referred to as "hypomethylated".
  • the cytosine (C) residue(s) within a DNA sequence e.g., fetal nucleic acid
  • the cytosine (C) residue(s) within a DNA sequence are methylated as compared to another sequence from a different region or from a different individual (e.g., relative to maternal nucleic acid)
  • that sequence is considered hypermethylated compared to the other sequence.
  • the cytosine (C) residue(s) within a DNA sequence are not methylated as compared to another sequence from a different region or from a different individual (e.g., the mother), that sequence is considered hypomethylated compared to the other sequence.
  • sequences are said to be “differentially methylated", and more specifically, when the methylation status differs between mother and fetus, the sequences are considered “differentially methylated maternal and fetal
  • agent that binds to methylated nucleotides refers to a substance that is capable of binding to methylated nucleic acid.
  • the agent may be naturally-occurring or synthetic, and may be modified or unmodified. In one embodiment, the agent allows for the separation of different nucleic acid species according to their respective methylation states.
  • An example of an agent that binds to methylated nucleotides is described in PCT Patent Application No. PCT/EP2005/012707, which published as WO06056480A2 and is hereby incorporated by reference.
  • the described agent is a bifunctional polypeptide comprising the DNA-binding domain of a protein belonging to the family of Methyl-CpG binding proteins (MBDs) and an Fc portion of an antibody (see Figure 1).
  • MBDs Methyl-CpG binding proteins
  • the recombinant methyl-CpG-binding, antibody-like protein can preferably bind CpG methylated DNA in an antibody-like manner. That means, the methyl-CpG-binding, antibody-like protein has a high affinity and high avidity to its "antigen", which is preferably DNA that is methylated at CpG dinucleotides.
  • the agent may also be a multivalent MBD (see Figure 2).
  • polymorphism refers to a sequence variation within different alleles of the same genomic sequence.
  • a sequence that contains a polymorphism is considered “polymorphic sequence”. Detection of one or more polymorphisms allows differentiation of different alleles of a single genomic sequence or between two or more individuals.
  • polymorphic marker or “polymorphic sequence” refers to segments of genomic DNA that exhibit heritable variation in a DNA sequence between individuals.
  • Such markers include, but are not limited to, single nucleotide polymorphisms (SNPs), restriction fragment length polymorphisms (RFLPs), short tandem repeats, such as di-, tri- or tetra-nucleotide repeats (STRs), and the like.
  • SNPs single nucleotide polymorphisms
  • RFLPs restriction fragment length polymorphisms
  • STRs tetra-nucleotide repeats
  • Polymorphic markers according to the present invention can be used to specifically differentiate between a maternal and paternal allele in the enriched fetal nucleic acid sample.
  • single nucleotide polymorphism refers to the polynucleotide sequence variation present at a single nucleotide residue within different alleles of the same genomic sequence. This variation may occur within the coding region or non-coding region (i.e., in the promoter or intronic region) of a genomic sequence, if the genomic sequence is transcribed during protein production. Detection of one or more SNP allows differentiation of different alleles of a single genomic sequence or between two or more individuals.
  • allele is one of several alternate forms of a gene or non-coding regions of DNA that occupy the same position on a chromosome.
  • the term allele can be used to describe DNA from any organism including but not limited to bacteria, viruses, fungi, protozoa, molds, yeasts, plants, humans, non-humans, animals, and archeabacteria.
  • ratio of the alleles or “allelic ratio” as used herein refer to the ratio of the population of one allele and the population of the other allele in a sample. In some trisomic cases, it is possible that a fetus may be tri-allelic for a particular locus. In such cases, the term “ratio of the alleles” refers to the ratio of the population of any one allele against one of the other alleles, or any one allele against the other two alleles.
  • non-polymorphism-based quantitative method refers to a method for determining the amount of an analyte (e.g., total nucleic acid, Y-chromosome nucleic acid, or fetal nucleic acid) that does not require the use of a polymorphic marker or sequence. Although a polymorphism may be present in the sequence, said polymorphism is not required to quantify the sequence.
  • analyte e.g., total nucleic acid, Y-chromosome nucleic acid, or fetal nucleic acid
  • non-polymorphism-based quantitative methods include, but are not limited to, T-PC , digital PCR, array-based methods, sequencing methods, nanopore-based methods, nucleic acid- bound bead-based counting methods and competitor-based methods wherein one or more competitors are introduced at a known concentration(s) to determine the amount of one or more analytes.
  • some of the above exemplary methods may need to be actively modified or designed such that one or more polymorphisms are not interrogated.
  • a bsolute amount or “copy number” as used herein refers to the amount or quantity of an analyte (e.g., total nucleic acid or fetal nucleic acid).
  • analyte e.g., total nucleic acid or fetal nucleic acid.
  • the present invention provides compositions and processes for determining the absolute amount of fetal nucleic acid in a mixed maternal sample.
  • Absolute amount or copy number represents the number of molecules available for detection, and may be expressed as the genomic equivalents per unit.
  • concentration refers to the amount or proportion of a substance in a mixture or solution (e.g., the amount of fetal nucleic acid in a maternal sample that comprises a mixture of maternal and fetal nucleic acid). The concentration may be expressed as a percentage, which is used to express how large/small one quantity is, relative to another quantity as a fraction of 100.
  • Platforms for determining the quantity or amount of an analyte include, but are not limited to, mass spectrometery, digital PCR, sequencing by synthesis platforms (e.g., pyrosequencing), fluorescence spectroscopy and flow cytometry.
  • sample refers to a specimen containing nucleic acid.
  • samples include, but are not limited to, tissue, bodily fluid (for example, blood, serum, plasma, saliva, urine, tears, peritoneal fluid, ascitic fluid, vaginal secretion, breast fluid, breast milk, lymph fluid, cerebrospinal fluid or mucosa secretion), umbilical cord blood, chorionic villi, amniotic fluid, an embryo, a two-celled embryo, a four-celled embryo, an eight-celled embryo, a 16-celled embryo, a 32-celled embryo, a 64- celled embryo, a 128-celled embryo, a 256-celled embryo, a 512-celled embryo, a 1024-celled embryo, embryonic tissues, lymph fluid, cerebrospinal fluid, mucosa secretion, or other body exudate, fecal matter, an individual cell or extract of the such sources that contain the nucleic
  • Fetal DNA can be obtained from sources including but not limited to maternal blood, maternal serum, maternal plasma, fetal cells, umbilical cord blood, chorionic villi, amniotic fluid, urine, saliva, lung lavage, cells or tissues.
  • blood refers to a blood sample or preparation from a pregnant woman or a woman being tested for possible pregnancy.
  • the term encompasses whole blood or any fractions of blood, such as serum and plasma as conventionally defined.
  • bisulfite encompasses all types of bisulfites, such as sodium bisulfite, that are capable of chemically converting a cytosine (C) to a uracil (U) without chemically modifying a methylated cytosine and therefore can be used to differentially modify a DNA sequence based on the methylation status of the DNA.
  • a reagent that "differentially modifies” methylated or non-methylated DNA As used herein, a reagent that "differentially modifies" methylated or non-methylated DNA
  • processes may include, but are not limited to, chemical reactions (such as a C.fwdarw.U conversion by bisulfite) and enzymatic treatment (such as cleavage by a methylation-dependent endonuclease).
  • an enzyme that preferentially cleaves or digests methylated DNA is one capable of cleaving or digesting a DNA molecule at a much higher efficiency when the DNA is methylated, whereas an enzyme that preferentially cleaves or digests unmethylated DNA exhibits a significantly higher efficiency when the DNA is not methylated.
  • non-bisulfite-based method and “non-bisulfite-based quantitative method” as used herein refer to any method for quantifying methylated or non-methylated nucleic acid that does not require the use of bisulfite.
  • the terms also refer to methods for preparing a nucleic acid to be quantified that do not require bisulfite treatment. Examples of non-bisulfite-based methods include, but are not limited to, methods for digesting nucleic acid using one or more methylation sensitive enzymes and methods for separating nucleic acid using agents that bind nucleic acid based on methylation status.
  • methyl-sensitive enzymes and "methylation sensitive restriction enzymes” are DNA restriction endonucleases that are dependent on the methylation state of their DNA recognition site for activity. For example, there are methyl-sensitive enzymes that cleave or digest at their DNA recognition sequence only if it is not methylated. Thus, an unmethylated DNA sample will be cut into smaller fragments than a methylated DNA sample. Similarly, a hypermethylated DNA sample will not be cleaved. In contrast, there are methyl-sensitive enzymes that cleave at their DNA recognition sequence only if it is methylated. As used herein, the terms “cleave”, “cut” and “digest” are used interchangeably.
  • target nucleic acid refers to a nucleic acid examined using the methods disclosed herein to determine if the nucleic acid is part of a pregnancy-related disorder or chromosomal abnormality.
  • a target nucleic acid from chromosome 21 could be examined using the methods of the invention to detect Down's Syndrome.
  • control nucleic acid refers to a nucleic acid used as a reference nucleic acid according to the methods disclosed herein to determine if the nucleic acid is part of a chromosomal abnormality.
  • a control nucleic acid from a chromosome other than chromosome 21 (herein referred to as a "reference chromosome”) could be as a reference sequence to detect Down's Syndrome.
  • the control sequence has a known or predetermined quantity.
  • gene means the segment of DNA involved in producing a polypeptide chain; it includes regions preceding and following the coding region (leader and trailer) involved in the
  • polypeptide polypeptide
  • peptide protein
  • protein protein
  • amino acid polymers in which one or more amino acid residue is an artificial chemical mimetic of a corresponding naturally occurring amino acid, as well as to naturally occurring amino acid polymers and non-naturally occurring amino acid polymers.
  • the terms encompass amino acid chains of any length, including full-length proteins (i.e., antigens), wherein the amino acid residues are linked by covalent peptide bonds.
  • amino acid refers to naturally occurring and synthetic amino acids, as well as amino acid analogs and amino acid mimetics that function in a manner similar to the naturally occurring amino acids.
  • Naturally occurring amino acids are those encoded by the genetic code, as well as those amino acids that are later modified, e.g., hydroxyproline, . gamma. -carboxyglutamate, and O-phosphoserine.
  • Amino acids may be referred to herein by either the commonly known three letter symbols or by the one-letter symbols recommended by the lUPAC-IUB Biochemical Nomenclature Commission.
  • Nucleotides likewise, may be referred to by their commonly accepted single-letter codes.
  • Primer refers to oligonucleotides that can be used in an amplification method, such as a polymerase chain reaction (PC ), to amplify a nucleotide sequence based on the polynucleotide sequence corresponding to a particular genomic sequence, e.g., one located within the CpG island CGI137, PDE9A, or CGI009 on chromosome 21, in various methylation status. At least one of the PCR primers for amplification of a polynucleotide sequence is sequence-specific for the sequence.
  • PC polymerase chain reaction
  • template refers to any nucleic acid molecule that can be used for amplification in the invention.
  • NA or DNA that is not naturally double stranded can be made into double stranded DNA so as to be used as template DNA.
  • Any double stranded DNA or preparation containing multiple, different double stranded DNA molecules can be used as template DNA to amplify a locus or loci of interest contained in the template DNA.
  • amplification reaction refers to a process for copying nucleic acid one or more times.
  • the method of amplification includes but is not limited to polymerase chain reaction, self-sustained sequence reaction, ligase chain reaction, rapid amplification of cDNA ends, polymerase chain reaction and ligase chain reaction, Q-beta phage amplification, strand displacement amplification, or splice overlap extension polymerase chain reaction.
  • a single molecule of nucleic acid is amplified, for example, by digital PCR.
  • sensitivity refers to the number of true positives divided by the number of true positives plus the number of false negatives, where sensitivity (sens) may be within the range of 0 ⁇ sens ⁇ 1.
  • method embodiments herein have the number of false negatives equaling zero or close to equaling zero, so that no subject is wrongly identified as not having at least one chromosome abnormality or other genetic disorder when they indeed have at least one chromosome abnormality or other genetic disorder.
  • an assessment often is made of the ability of a prediction algorithm to classify negatives correctly, a complementary measurement to sensitivity.
  • sensitivity refers to the number of true negatives divided by the number of true negatives plus the number of false positives, where sensitivity (spec) may be within the range of 0 ⁇ spec ⁇ 1.
  • methods embodiments herein have the number of false positives equaling zero or close to equaling zero, so that no subject wrongly identified as having at least one chromosome abnormality other genetic disorder when they do not have the chromosome abnormality other genetic disorder being assessed.
  • variable refers to a factor, quantity, or function of an algorithm that has a value or set of values.
  • a variable may be the design of a set of amplified nucleic acid species, the number of sets of amplified nucleic acid species, percent fetal genetic contribution tested, percent maternal genetic contribution tested, type of chromosome abnormality assayed, type of genetic disorder assayed, type of sex-linked abnormalities assayed, the age of the mother and the like.
  • independent refers to not being influenced or not being controlled by another.
  • dependent refers to being influenced or controlled by another. For example, a particular chromosome and a trisomy event occurring for that particular chromosome that results in a viable being are variables that are dependent upon each other.
  • One of skill in the art may use any type of method or prediction algorithm to give significance to the data of the present invention within an acceptable sensitivity and/or specificity.
  • prediction algorithms such as Chi-squared test, z-test, t-test, ANOVA (analysis of variance), regression analysis, neural nets, fuzzy logic, Hidden Markov Models, multiple model state estimation, and the like may be used.
  • One or more methods or prediction algorithms may be determined to give significance to the data having different independent and/or dependent varia bles of the present invention. And one or more methods or prediction algorithms may be determined not to give significance to the data having different independent and/or dependent varia bles of the present invention.
  • prediction algorithms e.g., num ber of sets analyzed, types of nucleotide species in each set.
  • these algorithms may be chosen to be tested. These algorithms can be trained with raw data. For each new raw data sample, the trained algorithms will assign a classification to that sample (i.e. trisomy or normal). Based on the classifications of the new raw data samples, the trained algorithms' performance may be assessed based on sensitivity and specificity. Finally, an algorithm with the highest sensitivity and/or specificity or com bination thereof may be identified.
  • fetal nucleic acid in maternal plasma was first reported in 1997 and offers the possibility for non-invasive prenatal diagnosis simply through the analysis of a maternal blood sample (Lo et al., Lancet 350:485-487, 1997). To date, numerous potential clinical applications have been developed. In particular, quantitative abnormalities of fetal nucleic acid, for example DNA, concentrations in maternal plasma have been found to be associated with a num ber of pregnancy-associated disorders, including preecla mpsia, preterm la bor, antepartum hemorrhage, invasive placentation, fetal Down syndrome, and other fetal chromosomal aneuploidies. Hence, fetal nucleic acid analysis in maternal plasma represents a powerful mechanism for the monitoring of fetomaternal well-being.
  • Methylation is an epigenetic phenomenon, which refers to processes that alter a phenotype without involving changes in the DNA sequence.
  • the present inventors provides novel genomic polynucleotides that are differentially methylated between the fetal DNA from the fetus (e.g., from the placenta) and the maternal DNA from the mother, for example from peripheral blood cells. This discovery thus provides a new approach for distinguishing fetal and maternal genomic DNA and new methods for accurately quantifying fetal nucleic which may be used for non-invasive prenatal diagnosis.
  • Practicing the invention utilizes routine techniques in the field of molecular biology.
  • Basic texts disclosing the general methods of use in the invention include Sambrook and Russell, Molecular Cloning, A Laboratory Manual (3rd ed. 2001); Kriegler, Gene Transfer and Expression: A Laboratory Manual (1990); and Current Protocols in Molecular Biology (Ausubel et al., eds., 1994)).
  • nucleic acids sizes are given in either kilobases (kb) or base pairs (bp). These are estimates derived from agarose or acrylamide gel electrophoresis, from sequenced nucleic acids, or from published DNA sequences.
  • kb kilobases
  • bp base pairs
  • proteins sizes are given in kilodaltons (kDa) or amino acid residue numbers. Protein sizes are estimated from gel electrophoresis, from sequenced proteins, from derived amino acid sequences, or from published protein sequences.
  • Oligonucleotides that are not commercially available can be chemically synthesized, e.g., according to the solid phase phosphoramidite triester method first described by Beaucage & Caruthers, Tetrahedron Lett. 22: 1859-1862 (1981), using an automated synthesizer, as described in Van Devanter et. al., Nucleic Acids Res. 12: 6159-6168 (1984). Purification of oligonucleotides is performed using any art-recognized strategy, e.g., native acrylamide gel electrophoresis or anion-exchange high performance liquid chromatography (HPLC) as described in Pearson & Reanier, J. Chrom. 255: 137-149 (1983).
  • HPLC high performance liquid chromatography
  • the present invention relates to separating, enriching and analyzing fetal DNA found in maternal blood as a non-invasive means to detect the presence and/or to monitor the progress of a pregnancy- associated condition or disorder.
  • the first steps of practicing the invention are to obtain a blood sample from a pregnant woman and extract DNA from the sample.
  • a blood sample is obtained from a pregnant woman at a gestational age suitable for testing using a method of the present invention.
  • the suitable gestational age may vary depending on the disorder tested, as discussed below.
  • Collection of blood from a woman is performed in accordance with the standard protocol hospitals or clinics generally follow.
  • An appropriate amount of peripheral blood e.g., typically between 5-50 ml, is collected and may be stored according to standard procedure prior to further preparation.
  • Blood samples may be collected, stored or transported in a manner known to the person of ordinary skill in the art to minimize degradation or the quality of nucleic acid present in the sample.
  • the analysis of fetal DNA found in maternal blood may be performed using, e.g., the whole blood, serum, or plasma.
  • the methods for preparing serum or plasma from maternal blood are well known among those of skill in the art.
  • a pregnant woman's blood can be placed in a tu be containing EDTA or a specialized commercial product such as Vacutainer SST (Becton Dickinson, Franklin Lakes, N.J.) to prevent blood clotting, and plasma can then be obtained from whole blood through centrifugation.
  • serum may be obtained with or without centrifugation-following blood clotting. If centrifugation is used then it is typically, though not exclusively, conducted at an appropriate speed, e.g., 1,500-3,000 times g.
  • Plasma or serum may be subjected to additional centrifugation steps before being transferred to a fresh tube for DNA extraction.
  • DNA may also be recovered from the cellular fraction, enriched in the buffy coat portion, which can be obtained following centrifugation of a whole blood sample from the woman and removal of the plasma.
  • the sample may first be enriched or relatively enriched for fetal nucleic acid by one or more methods.
  • the discrimination of fetal and maternal DNA can be performed using the compositions and processes of the present invention alone or in combination with other discriminating factors. Examples of these factors include, but are not limited to, single nucleotide differences between chromosome X and Y, chromosome Y-specific sequences, polymorphisms located elsewhere in the genome, size differences between fetal and maternal DNA and differences in methylation pattern between maternal and fetal tissues.
  • Other methods for enriching a sample for a particular species of nucleic acid are described in PCT Patent Application Number PCT/US07/69991, filed May 30, 2007, PCT Patent Application Number
  • maternal nucleic acid is selectively removed (either partially, substantially, almost completely or completely) from the sample.
  • the methods provided herein offer an alternative approach for the enrichment of fetal DNA based on the methylation-specific separation of differentially methylated DNA. It has recently been discovered that many genes involved in developmental regulation are controlled through epigenetics in embryonic stem cells. Consequently, multiple genes can be expected to show differential DNA methylation between nucleic acid of fetal origin and maternal origin. Once these regions are identified, a technique to capture methylated DNA can be used to specifically enrich fetal DNA. For identification of differentially methylated regions, a novel approach was used to capture methylated DNA.
  • MBD-FC methyl binding domain of MBD2
  • MBD-FC Fc fragment of an antibody
  • This fusion protein has several advantages over conventional methylation specific antibodies.
  • the MBD-FC has a higher affinity to methylated DNA and it binds double stranded DNA. Most importantly the two proteins differ in the way they bind DNA.
  • Methylation specific antibodies bind DNA stochastically, which means that only a binary answer can be obtained.
  • the methyl binding domain of MBD-FC on the other hand binds all DNA molecules regardless of their methylation status. The strength of this protein - DNA interaction is defined by the level of DNA methylation.
  • eluate solutions of increasing salt concentrations can be used to fractionate non-methylated and methylated DNA allowing for a more controlled separation (Gebhard C, Schwarzfischer L, Pham TH, Andreesen R, Mackensen A, Rehli M (2006) Rapid and sensitive detection of CpG-methylation using methyl-binding (MB)-PCR. Nucleic Acids Res 34:e82). Consequently this method, called Methyl-CpG immunoprecipitation (MCIP), cannot only enrich, but also fractionate genomic DNA according to methylation level, which is particularly helpful when the unmethylated DNA fraction should be investigated as well.
  • MCIP Methyl-CpG immunoprecipit
  • the invention also provides compositions and processes for determining the amount of fetal nucleic acid from a maternal sample.
  • the invention allows for the enrichment of fetal nucleic acid regions in a maternal sample by selectively digesting nucleic acid from said maternal sample with an enzyme that selectively and completely or substantially digests the maternal nucleic acid to enrich the sample for at least one fetal nucleic acid region.
  • the digestion efficiency is greater than about 75%, 76%, 77%, 78%, 79%, 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, or 99%.
  • the amount of fetal nucleic acid can be determined by quantitative methods that do not require polymorphic sequences or bisulfite treatment, thereby, offering a solution that works equally well for female fetuses and across different ethnicities and preserves the low copy number fetal nucleic acid present in the sample.
  • methyl-sensitive enzymes that preferentially or substantially cleave or digest at their DNA recognition sequence if it is non-methylated.
  • an unmethylated DNA sample will be cut into smaller fragments than a methylated DNA sample.
  • a hypermethylated DNA sample will not be cleaved.
  • methyl-sensitive enzymes that cleave at their DNA recognition sequence only if it is methylated.
  • Methyl-sensitive enzymes that digest unmethylated DNA suitable for use in methods of the invention include, but are not limited to, Hpall, Hhal, Maell, BstUI and Acil.
  • An enzyme that can be used is Hpall that cuts only the unmethylated sequence CCGG.
  • Another enzyme that can be used is Hhal that cuts only the unmethylated sequence GCGC. Both enzymes are available from New England BioLabs ® , Inc. Combinations of two or more methyl-sensitive enzymes that digest only unmethylated DNA can also be used.
  • Suitable enzymes that digest only methylated DNA include, but are not limited to, Dpnl, which cuts at a recognition sequence GATC, and McrBC, which belongs to the family of AAA.sup.+ proteins and cuts DNA containing modified cytosines and cuts at recognition site 5' . . . Pu.sup.mC(N.sub.40-3000) Pu.sup.mC . . . 3' (New England BioLabs, Inc., Beverly, Mass.).
  • methylation analysis procedures are known in the art, and can be used in conjunction with the present invention. These assays allow for determination of the methylation state of one or a plurality of CpG islands within a DNA sequence. In addition, the methods maybe used to quantify methylated nucleic acid. Such assays involve, among other techniques, DNA sequencing of bisulfite-treated DNA, PC (for sequence-specific amplification), Southern blot analysis, and use of methylation-sensitive restriction enzymes.
  • Genomic sequencing is a technique that has been simplified for analysis of DNA methylation patterns and 5-methylcytosine distribution by using bisulfite treatment (Frommer et al., Proc. Natl. Acad. Sci. USA 89:1827-1831, 1992). Additionally, restriction enzyme digestion of PCR products amplified from bisulfite-converted DNA may be used, e.g., the method described by Sadri & Hornsby (Nucl. Acids Res. 24:5058-5059, 1996), or COBRA (Combined Bisulfite Restriction Analysis) (Xiong & Laird, Nucleic Acids Res. 25:2532-2534, 1997).
  • COBRA analysis is a quantitative methylation assay useful for determining DNA methylation levels at specific gene loci in small amounts of genomic DNA (Xiong & Laird, Nucleic Acids Res. 25:2532-2534, 1997). Briefly, restriction enzyme digestion is used to reveal methylation-dependent sequence differences in PCR products of sodium bisulfite-treated DNA. Methylation-dependent sequence differences are first introduced into the genomic DNA by standard bisulfite treatment according to the procedure described by Frommer et al. (Proc. Natl. Acad. Sci. USA 89:1827-1831, 1992). PCR
  • amplification of the bisulfite converted DNA is then performed using primers specific for the interested CpG islands, followed by restriction endonuclease digestion, gel electrophoresis, and detection using specific, labeled hybridization probes.
  • Methylation levels in the original DNA sample are represented by the relative amounts of digested and undigested PCR product in a linearly quantitative fashion across a wide spectrum of DNA methylation levels.
  • this technique can be reliably applied to DNA obtained from microdissected paraffin-embedded tissue samples.
  • Typical reagents for COBRA analysis may include, but are not limited to: PCR primers for specific gene (or methylation-altered DNA sequence or CpG island); restriction enzyme and appropriate buffer; gene-hybridization oligo; control hybridization oligo; kinase labeling kit for oligo probe; and radioactive nucleotides.
  • bisulfite conversion reagents may include: DNA denaturation buffer; sulfonation buffer; DNA recovery reagents or kits (e.g., precipitation, ultrafiltration, affinity column); desulfonation buffer; and DNA recovery components.
  • the MethyLightTM assay is a high-throughput quantitative methylation assay that utilizes fluorescence- based real-time PCR (TaqMan.RTM.) technology that requires no further manipulations after the PCR step (Eads et al., Cancer Res. 59:2302-2306, 1999). Briefly, the MethyLight.TM. process begins with a mixed sample of genomic DNA that is converted, in a sodium bisulfite reaction, to a mixed pool of methylation-dependent sequence differences according to standard procedures (the bisulfite process converts unmethylated cytosine residues to uracil).
  • Fluorescence-based PCR is then performed either in an "unbiased” (with primers that do not overlap known CpG methylation sites) PCR reaction, or in a “biased” (with PCR primers that overlap known CpG dinucleotides) reaction. Sequence discrimination can occur either at the level of the amplification process or at the level of the fluorescence detection process, or both.
  • the MethyLight assay may be used as a quantitative test for methylation patterns in the genomic DNA sample, wherein sequence discrimination occurs at the level of probe hybridization.
  • the PCR reaction provides for unbiased amplification in the presence of a fluorescent probe that overlaps a particular putative methylation site.
  • An unbiased control for the amount of input DNA is provided by a reaction in which neither the primers, nor the probe overlie any CpG dinucleotides.
  • a qualitative test for genomic methylation is achieved by probing of the biased PCR pool with either control oligonucleotides that do not "cover” known methylation sites (a fluorescence-based version of the "MSP" technique), or with oligonucleotides covering potential methylation sites.
  • the MethyLight process can by used with a "TaqMan” probe in the amplification process.
  • double-stranded genomic DNA is treated with sodium bisulfite and subjected to one of two sets of PCR reactions using TaqMan.RTM. probes; e.g., with either biased primers and TaqMan.RTM. probe, or unbiased primers and TaqMan.RTM. probe.
  • the TaqMan.RTM. probe is dual-labeled with fluorescent "reporter” and "quencher” molecules, and is designed to be specific for a relatively high GC content region so that it melts out at about 10. degree. C. higher temperature in the PCR cycle than the forward or reverse primers. This allows the TaqMan.RTM.
  • Taq polymerase enzymatically synthesizes a new strand during PCR, it will eventually reach the annealed TaqMan.RTM. probe.
  • the Taq polymerase 5' to 3' endonuclease activity will then displace the TaqMan.RTM. probe by digesting it to release the fluorescent reporter molecule for quantitative detection of its now unquenched signal using a real-time fluorescent detection system.
  • Typical reagents e.g., as might be found in a typical MethyLight.TM. -based kit
  • MethyLight.TM. analysis may include, but are not limited to: PCR primers for specific gene (or methylation-altered DNA sequence or CpG island); TaqMan.RTM. probes; optimized PCR buffers and deoxynucleotides; and Taq polymerase.
  • the Ms-SNuPE technique is a quantitative method for assessing methylation differences at specific CpG sites based on bisulfite treatment of DNA, followed by single-nucleotide primer extension (Gonzalgo & Jones, Nucleic Acids Res. 25:2529-2531, 1997).
  • genomic DNA is reacted with sodium bisulfite to convert unmethylated cytosine to uracil while leaving 5-methylcytosine unchanged.
  • Amplification of the desired target sequence is then performed using PCR primers specific for bisulfite-converted DNA, and the resulting product is isolated and used as a template for methylation analysis at the CpG site(s) of interest.
  • Small amounts of DNA can be analyzed (e.g., microdissected pathology sections), and it avoids utilization of restriction enzymes for determining the methylation status at CpG sites.
  • Typical reagents for Ms-SNuPE analysis may include, but are not limited to: PCR primers for specific gene (or methylation-altered DNA sequence or CpG island); optimized PCR buffers and deoxynucleotides; gel extraction kit; positive control primers; Ms-SNuPE primers for specific gene; reaction buffer (for the Ms-SNuPE reaction); and radioactive nucleotides.
  • bisulfite conversion reagents may include: DNA denaturation buffer;
  • DNA recovery regents or kit e.g., precipitation, ultrafiltration, affinity column
  • desulfonation buffer e.g., DNA recovery buffer
  • MSP methylation-specific PCR
  • DNA is modified by sodium bisulfite converting all unmethylated, but not methylated cytosines to uracil, and subsequently amplified with primers specific for methylated versus umnethylated DNA.
  • MSP requires only small quantities of DNA, is sensitive to 0.1% methylated alleles of a given CpG island locus, and can be performed on DNA extracted from paraffin-embedded samples.
  • Typical reagents e.g., as might be found in a typical MSP-based kit
  • MSP analysis may include, but are not limited to: methylated and unmethylated PCR primers for specific gene (or methylation-altered DNA sequence or CpG island), optimized PCR buffers and deoxynucleotides, and specific probes.
  • the MCA technique is a method that can be used to screen for altered methylation patterns in genomic DNA, and to isolate specific sequences associated with these changes (Toyota et al., Cancer Res.
  • restriction enzymes with different sensitivities to cytosine methylation in their recognition sites are used to digest genomic DNAs from primary tumors, cell lines, and normal tissues prior to arbitrarily primed PCR amplification. Fragments that show differential methylation are cloned and sequenced after resolving the PCR products on high-resolution polyacrylamide gels. The cloned fragments are then used as probes for Southern analysis to confirm differential methylation of these regions.
  • Typical reagents for MCA analysis may include, but are not limited to: PCR primers for arbitrary priming Genomic DNA; PCR buffers and nucleotides, restriction enzymes and appropriate buffers; gene-hybridization oligos or probes; control hybridization oligos or probes.
  • Another method for analyzing methylation sites is a primer extension assay, including an optimized PCR amplification reaction that produces amplified targets for subsequent primer extension genotyping analysis using mass spectrometry.
  • the assay can also be done in multiplex. This method (particularly as it relates to genotyping single nucleotide polymorphisms) is described in detail in PCT publication WO05012578A1 and US publication US20050079521A1.
  • the assay can be adopted to detect bisulfite introduced methylation dependent C to T sequence changes.
  • multiplexed amplification reactions and multiplexed primer extension reactions e.g., multiplexed homogeneous primer mass extension (hME) assays
  • hME primer mass extension
  • DNA methylation analysis includes restriction landmark genomic scanning (RLGS, Costello et al., 2000), methylation-sensitive-representational difference analysis (MS-RDA), methylation-specific AP-PCR (MS-AP-PCR) and methyl-CpG binding domain column/segregation of partly melted molecules (MBD/SPM).
  • RGS restriction landmark genomic scanning
  • MS-RDA methylation-sensitive-representational difference analysis
  • MS-AP-PCR methylation-specific AP-PCR
  • MBD/SPM methyl-CpG binding domain column/segregation of partly melted molecules
  • nucleic acid may be subjected to sequence-based analysis. Furthermore, once it is determined that one particular genomic sequence of fetal origin is hypermethylated or hypomethylated compared to the maternal counterpart, the amount of this fetal genomic sequence can be determined. Subsequently, this amount can be compared to a standard control value and serve as an indication for the potential of certain pregnancy- associated disorder.
  • nucleic acid amplification is the enzymatic synthesis of nucleic acid amplicons (copies) which contain a sequence that is complementary to a nucleic acid sequence being amplified. Nucleic acid amplification is especially beneficial when the amount of target sequence present in a sample is very low.
  • the sensitivity of an assay can be vastly improved, since fewer target sequences are needed at the beginning of the assay to better ensure detection of nucleic acid in the sample belonging to the organism or virus of interest.
  • PCR polymerase chain reaction
  • PCR is most usually carried out as an automated process with a thermostable enzyme. In this process, the temperature of the reaction mixture is cycled through a denaturing region, a primer annealing region, and an extension reaction region automatically. Machines specifically adapted for this purpose are commercially available.
  • PCR amplification of a polynucleotide sequence is typically used in practicing the present invention
  • amplification of a genomic sequence found in a maternal blood sample may be accomplished by any known method, such as ligase chain reaction (LCR), transcription-mediated amplification, and self-sustained sequence replication or nucleic acid sequence- based amplification (NASBA), each of which provides sufficient amplification.
  • LCR ligase chain reaction
  • NASBA nucleic acid sequence- based amplification
  • More recently developed branched-DNA technology may also be used to qualitatively demonstrate the presence of a particular genomic sequence of the invention, which represents a particular methylation pattern, or to quantitatively determine the amount of this particular genomic sequence in the maternal blood.
  • branched-DNA signal amplification for direct quantitation of nucleic acid sequences in clinical samples, see Nolte, Adv. Clin. Chem. 33:201-235, 1998.
  • compositions and processes of the invention are also particularly useful when practiced with digital PCR.
  • Digital PCR was first developed by Kalinina and colleagues (Kalinina et al., "Nanoliter scale PCR with TaqMan detection.” Nucleic Acids Research. 25; 1999-2004, (1997)) and further developed by Vogelstein and Kinzler (Digital PCR. Proc Natl Acad Sci U S A. 96; 9236-41, (1999)).
  • the application of digital PCR for use with fetal diagnostics was first described by Cantor et al. (PCT Patent Publication No. WO05023091A2) and subsequently described by Quake et al. (US Patent Publication No. US
  • Digital PCR takes advantage of nucleic acid (DNA, cDNA or NA) amplification on a single molecule level, and offers a highly sensitive method for quantifying low copy number nucleic acid.
  • Fluidigm ® Corporation offers systems for the digital analysis of nucleic acids.
  • a primer extension reaction operates, for example, by discriminating the SNP alleles by the incorporation of
  • the primer is extended with a polymerase.
  • the primer extended SNP can be detected physically by mass spectrometry or by a tagging moiety such as biotin.
  • the SNP site is only extended by a complementary deoxynucleotide or dideoxynucleotide that is either tagged by a specific label or generates a primer extension product with a specific mass, the SNP alleles can be discriminated and quantified.
  • Reverse transcribed and amplified nucleic acids may be modified nucleic acids.
  • Modified nucleic acids can include nucleotide analogs, and in certain embodiments include a detectable label and/or a capture agent.
  • detectable labels include without limitation fluorophores, radioisotopes, colormetric agents, light emitting agents, chemiluminescent agents, light scattering agents, enzymes and the like.
  • capture agents include without limitation an agent from a binding pair selected from antibody/antigen, antibody/antibody, antibody/antibody fragment, antibody/antibody receptor, antibody/protein A or protein G, hapten/anti-hapten, biotin/avidin, biotin/streptavidin, folic acid/folate binding protein, vitamin B12/intrinsic factor, chemical reactive group/complementary chemical reactive group (e.g., sulfhydryl/maleimide, sulfhydryl/haloacetyl derivative, amine/isotriocyanate,
  • agent from a binding pair selected from antibody/antigen, antibody/antibody, antibody/antibody fragment, antibody/antibody receptor, antibody/protein A or protein G, hapten/anti-hapten, biotin/avidin, biotin/streptavidin, folic acid/folate binding protein, vitamin B12/intrinsic factor, chemical reactive group/complementary chemical reactive group (e.g., sulf
  • Modified nucleic acids having a capture agent can be immobilized to a solid support in certain embodiments
  • Mass spectrometry is a particularly effective method for the detection of a polynucleotide of the invention, for example a PCR amplicon, a primer extension product or a detector probe that is cleaved from a target nucleic acid.
  • the presence of the polynucleotide sequence is verified by comparing the mass of the detected signal with the expected mass of the polynucleotide of interest.
  • the relative signal strength, e.g., mass peak on a spectra, for a particular polynucleotide sequence indicates the relative population of a specific allele, thus enabling calculation of the allele ratio directly from the data.
  • Sequencing technologies are improving in terms of throughput and cost. Sequencing technologies, such as that achievable on the 454 platform (Roche) (Margulies, M. et al. 2005 Nature 437, 376-380), lllumina Genome Analyzer (or Solexa platform) or SOLiD System (Applied Biosystems) or the Helicos True Single Molecule DNA sequencing technology (Harris T D et al. 2008 Science, 320, 106-109), the single molecule, real-time (SMRT.TM.) technology of Pacific Biosciences, and nanopore sequencing (Soni GV and Meller A. 2007 Clin Chem 53: 1996-2001), allow the sequencing of many nucleic acid molecules isolated from a specimen at high orders of multiplexing in a parallel fashion (Dear Brief Funct Genomic Proteomic 2003; 1: 397-416).
  • Each of these platforms allow sequencing of clonally expanded or non-amplified single molecules of nucleic acid fragments.
  • Certain platforms involve, for example, (i) sequencing by ligation of dye- modified probes (including cyclic ligation and cleavage), (ii) pyrosequencing, and (iii) single-molecule sequencing.
  • Nucleotide sequence species, amplification nucleic acid species and detectable products generated there from can be considered a "study nucleic acid" for purposes of analyzing a nucleotide sequence by such sequence analysis platforms.
  • Sequencing by ligation is a nucleic acid sequencing method that relies on the sensitivity of DNA ligase to base-pairing mismatch.
  • DNA ligase joins together ends of DNA that are correctly base paired. Combining the ability of DNA ligase to join together only correctly base paired DNA ends, with mixed pools of fluorescently labeled oligonucleotides or primers, enables sequence determination by fluorescence detection.
  • Longer sequence reads may be obtained by including primers containing cleavable linkages that can be cleaved after label identification. Cleavage at the linker removes the label and regenerates the 5' phosphate on the end of the ligated primer, preparing the primer for another round of ligation.
  • primers may be labeled with more than one fluorescent label (e.g., 1 fluorescent label, 2, 3, or 4 fluorescent labels).
  • Clonal bead populations can be prepared in emulsion microreactors containing study nucleic acid ("template"), amplification reaction components, beads and primers. After amplification, templates are denatured and bead enrichment is performed to separate beads with extended templates from undesired beads (e.g., beads with no extended templates). The template on the selected beads undergoes a 3' modification to allow covalent bonding to the slide, and modified beads can be deposited onto a glass slide. Deposition chambers offer the ability to segment a slide into one, four or eight chambers during the bead loading process.
  • primers hybridize to the adapter sequence.
  • a set of four color dye-labeled probes competes for ligation to the sequencing primer. Specificity of probe ligation is achieved by interrogating every 4th and 5th base during the ligation series. Five to seven rounds of ligation, detection and cleavage record the color at every 5th position with the number of rounds determined by the type of library used. Following each round of ligation, a new complimentary primer offset by one base in the 5' direction is laid down for another series of ligations. Primer reset and ligation rounds (5-7 ligation cycles per round) are repeated sequentially five times to generate 25-35 base pairs of sequence for a single tag. With mate-paired sequencing, this process is repeated for a second tag.
  • Such a system can be used to exponentially amplify amplification products generated by a process described herein, e.g., by ligating a heterologous nucleic acid to the first amplification product generated by a process described herein and performing emulsion amplification using the same or a different solid support originally used to generate the first amplification product.
  • Such a system also may be used to analyze amplification products directly generated by a process described herein by bypassing an exponential amplification process and directly sorting the solid supports described herein on the glass slide.
  • Pyrosequencing is a nucleic acid sequencing method based on sequencing by synthesis, which relies on detection of a pyrophosphate released on nucleotide incorporation.
  • sequencing by synthesis involves synthesizing, one nucleotide at a time, a DNA strand complimentary to the strand whose sequence is being sought.
  • Study nucleic acids may be immobilized to a solid support, hybridized with a sequencing primer, incubated with DNA polymerase, ATP sulfurylase, luciferase, apyrase, adenosine 5' phosphsulfate and luciferin. Nucleotide solutions are sequentially added and removed.
  • nucleotide Correct incorporation of a nucleotide releases a pyrophosphate, which interacts with ATP sulfurylase and produces ATP in the presence of adenosine 5' phosphsulfate, fueling the luciferin reaction, which produces a chemiluminescent signal allowing sequence determination.
  • An example of a system that can be used by a person of ordinary skill based on pyrosequencing generally involves the following steps: ligating an adaptor nucleic acid to a study nucleic acid and hybridizing the study nucleic acid to a bead; amplifying a nucleotide sequence in the study nucleic acid in an emulsion; sorting beads using a picoliter multiwell solid support; and sequencing amplified nucleotide sequences by pyrosequencing methodology (e.g., Nakano et al., "Single-molecule PC using water-in-oil emulsion;" Journal of Biotechnology 102: 117-124 (2003)).
  • Such a system can be used to exponentially amplify amplification products generated by a process described herein, e.g., by ligating a heterologous nucleic acid to the first amplification product generated by a process described herein.
  • Certain single-molecule sequencing embodiments are based on the principal of sequencing by synthesis, and utilize single-pair Fluorescence Resonance Energy Transfer (single pair FRET) as a mechanism by which photons are emitted as a result of successful nucleotide incorporation.
  • the emitted photons often are detected using intensified or high sensitivity cooled charge-couple-devices in conjunction with total internal reflection microscopy (TIRM). Photons are only emitted when the introduced reaction solution contains the correct nucleotide for incorporation into the growing nucleic acid chain that is synthesized as a result of the sequencing process.
  • TIRM total internal reflection microscopy
  • FRET FRET based single-molecule sequencing
  • energy is transferred between two fluorescent dyes, sometimes polymethine cyanine dyes Cy3 and Cy5, through long-range dipole interactions.
  • the donor is excited at its specific excitation wavelength and the excited state energy is transferred, non-radiatively to the acceptor dye, which in turn becomes excited.
  • the acceptor dye eventually returns to the ground state by radiative emission of a photon.
  • the two dyes used in the energy transfer process represent the "single pair", in single pair FRET. Cy3 often is used as the donor fluorophore and often is incorporated as the first labeled nucleotide.
  • Cy5 often is used as the acceptor fluorophore and is used as the nucleotide label for successive nucleotide additions after incorporation of a first Cy3 labeled nucleotide.
  • the fluorophores generally are within 10 nanometers of each for energy transfer to occur successfully.
  • An example of a system that can be used based on single-molecule sequencing generally involves hybridizing a primer to a study nucleic acid to generate a complex; associating the complex with a solid phase; iteratively extending the primer by a nucleotide tagged with a fluorescent molecule; and capturing an image of fluorescence resonance energy transfer signals after each iteration (e.g., U.S. Patent No. 7,169,314; Braslavsky et al., PNAS 100(7): 3960-3964 (2003)).
  • Such a system can be used to directly sequence amplification products generated by processes described herein.
  • the released linear amplification product can be hybridized to a primer that contains sequences complementary to immobilized capture sequences present on a solid support, a bead or glass slide for example. Hybridization of the primer-released linear amplification product complexes with the immobilized capture sequences, immobilizes released linear amplification products to solid supports for single pair FRET based sequencing by synthesis.
  • the primer often is fluorescent, so that an initial reference image of the surface of the slide with immobilized nucleic acids can be generated. The initial reference image is useful for determining locations at which true nucleotide incorporation is occurring. Fluorescence signals detected in array locations not initially identified in the "primer only" reference image are discarded as non-specific fluorescence.
  • the bound nucleic acids often are sequenced in parallel by the iterative steps of, a) polymerase extension in the presence of one fluorescently labeled nucleotide, b) detection of fluorescence using appropriate microscopy, TIRM for example, c) removal of fluorescent nucleotide, and d) return to step a with a different fluorescently labeled nucleotide.
  • nucleotide sequencing may be by solid phase single nucleotide sequencing methods and processes.
  • Solid phase single nucleotide sequencing methods involve contacting sample nucleic acid and solid support under conditions in which a single molecule of sample nucleic acid hybridizes to a single molecule of a solid support. Such conditions can include providing the solid support molecules and a single molecule of sample nucleic acid in a "microreactor.” Such conditions also can include providing a mixture in which the sample nucleic acid molecule can hybridize to solid phase nucleic acid on the solid support.
  • nanopore sequencing detection methods include (a) contacting a nucleic acid for sequencing ("base nucleic acid,” e.g., linked probe molecule) with sequence-specific detectors, under conditions in which the detectors specifically hybridize to substantially complementary subsequences of the base nucleic acid; (b) detecting signals from the detectors and (c) determining the sequence of the base nucleic acid according to the signals detected.
  • the detectors hybridized to the base nucleic acid are disassociated from the base nucleic acid (e.g., sequentially dissociated) when the detectors interfere with a nanopore structure as the base nucleic acid passes through a pore, and the detectors disassociated from the base sequence are detected.
  • a detector disassociated from a base nucleic acid emits a detectable signal, and the detector hybridized to the base nucleic acid emits a different detectable signal or no detectable signal.
  • nucleotides in a nucleic acid e.g., linked probe molecule
  • nucleotide representatives specific nucleotide sequences corresponding to specific nucleotides
  • nucleotide representatives may be arranged in a binary or higher order arrangement (e.g., Soni and Meller, Clinical Chemistry 53(11): 1996-2001 (2007)).
  • a nucleic acid is not expanded, does not give rise to an expanded nucleic acid, and directly serves a base nucleic acid (e.g., a linked probe molecule serves as a non-expanded base nucleic acid), and detectors are directly contacted with the base nucleic acid.
  • a first detector may hybridize to a first subsequence and a second detector may hybridize to a second subsequence, where the first detector and second detector each have detectable labels that can be distinguished from one another, and where the signals from the first detector and second detector can be distinguished from one another when the detectors are disassociated from the base nucleic acid.
  • detectors include a region that hybridizes to the base nucleic acid (e.g., two regions), which can be about 3 to about 100 nucleotides in length (e.g., about 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 50, 55, 60, 65, 70, 75, 80, 85, 90, or 95 nucleotides in length).
  • a detector also may include one or more regions of nucleotides that do not hybridize to the base nucleic acid.
  • a detector is a molecular beacon.
  • a detector often comprises one or more detectable labels independently selected from those described herein.
  • Each detectable label can be detected by any convenient detection process capable of detecting a signal generated by each label (e.g., magnetic, electric, chemical, optical and the like).
  • a CD camera can be used to detect signals from one or more distinguishable quantum dots linked to a detector.
  • reads may be used to construct a larger nucleotide sequence, which can be facilitated by identifying overlapping sequences in different reads and by using identification sequences in the reads.
  • sequence analysis methods and software for constructing larger sequences from reads are known to the person of ordinary skill (e.g., Venter et al., Science 291: 1304-1351 (2001)).
  • Specific reads, partial nucleotide sequence constructs, and full nucleotide sequence constructs may be compared between nucleotide sequences within a sample nucleic acid (i.e., internal comparison) or may be compared with a reference sequence (i.e., reference comparison) in certain sequence analysis embodiments.
  • nucleic acid species in a plurality of nucleic acids e.g., nucleotide sequence species, amplified nucleic acid species and detectable products generated from the foregoing.
  • Multiplexing refers to the simultaneous detection of more than one nucleic acid species.
  • General methods for performing multiplexed reactions in conjunction with mass spectrometry are known (see, e.g., U.S. Pat. Nos. 6,043,031, 5,547,835 and International PCT application No. WO 97/37041).
  • Multiplexing provides an advantage that a plurality of nucleic acid species (e.g., some having different sequence variations) can be identified in as few as a single mass spectrum, as compared to having to perform a separate mass spectrometry analysis for each individual target nucleic acid species.
  • Methods provided herein lend themselves to high-throughput, highly- automated processes for analyzing sequence variations with high speed and accuracy, in some embodiments. In some embodiments, methods herein may be multiplexed at high levels in a single reaction.
  • the number of nucleic acid species multiplexed include, without limitation, about 1 to about 500 (e.g., about 1-3, 3-5, 5-7, 7-9, 9-11, 11-13, 13-15, 15-17, 17-19, 19-21, 21-23, 23- 25, 25-27, 27-29, 29-31, 31-33, 33-35, 35-37, 37-39, 39-41, 41-43, 43-45, 45-47, 47-49, 49-51, 51-53, 53- 55, 55-57, 57-59, 59-61, 61-63, 63-65, 65-67, 67-69, 69-71, 71-73, 73-75, 75-77, 77-79, 79-81, 81-83, 83- 85, 85-87, 87-89, 89-91, 91-93, 93-95, 95-97, 97-101, 101-103, 103-105, 105-107, 107-109,
  • Design methods for achieving resolved mass spectra with multiplexed assays can include primer and oligonucleotide design methods and reaction design methods. See, for example, the multiplex schemes provided in Tables X and Y.
  • primer and oligonucleotide design in multiplexed assays the same general guidelines for primer design applies for uniplexed reactions, such as avoiding false priming and primer dimers, only more primers are involved for multiplex reactions.
  • analyte peaks in the mass spectra for one assay are sufficiently resolved from a product of any assay with which that assay is multiplexed, including pausing peaks and any other by-product peaks.
  • multiplex analysis may be adapted to mass spectrometric detection of chromosome abnormalities, for example.
  • multiplex analysis may be adapted to various single nucleotide or nanopore based sequencing methods described herein. Commercially produced micro-reaction chambers or devices or arrays or chips may be used to facilitate multiplex analysis, and are commercially available.
  • Some methods rely on measuring the ratio of maternal to paternally inherited alleles to detect fetal chromosomal aneuploidies from maternal plasma.
  • a diploid set yields a 1:1 ratio while trisomies can be detected as a 2:1 ratio. Detection of this difference is impaired by statistical sampling due to the low abundance of fetal DNA, presence of excess maternal DNA in the plasma sample and variability of the measurement technique. The latter is addressed by using methods with high measurement precision, like digital PCR or mass spectrometry.
  • Enriching the fetal fraction of cell free DNA in a sample is currently achieved by either depleting maternal DNA through size exclusion or focusing on fetal-specific nucleic acids, like fetal-expressed RNA.
  • fetal DNA Another differentiating feature of fetal DNA is its DNA methylation pattern.
  • novel compositions and methods for accurately quantifying fetal nucleic acid based on differential methylation between a fetus and mother rely on sensitive absolute copy number analysis to quantify the fetal nucleic acid portion of a maternal sample, thereby allowing for the prenatal detection of fetal traits.
  • the methods of the invention have identified approximately 3000 CpG rich regions in the genome that are differentially methylated between maternal and fetal DNA. The selected regions showed highly conserved differential methylation across all measured samples.
  • the set of regions is enriched for genes important in developmental regulation, indicating that epigenetic regulation of these areas is a biologically relevant and consistent process (see Table 3).
  • Enrichment of fetal DNA can now be achieved by using our MBD-FC protein to capture all cell free DNA and then elute the highly methylated DNA fraction with high salt concentrations. Using the low salt eluate fractions, the MBD-FC is equally capable of enriching non-methylated fetal DNA.
  • the present invention provides 63 confirmed genomic regions on chromosomes 13, 18 and 21 with low maternal and high fetal methylation levels. After capturing these regions, SNPs can be used to determine the aforementioned allele ratios. When high frequency SNPs are used around 10 markers have to be measured to achieve a high confidence of finding at least one SNP where the parents have opposite homozygote genotypes and the child has a heterozygote genotype.
  • a method for chromosomal abnormality detection utilizes absolute copy number quantification.
  • a diploid chromosome set will show the same number of copies for differentially methylated regions across all chromosomes, but, for example, a trisomy 21 sample would show 1.5 times more copies for differentially methylated regions on chromosome 21.
  • Normalization of the genomic DNA amounts for a diploid chromosome set can be achieved by using unaltered autosomes as reference (also provided herein - see Table IB). Comparable to other approaches, a single marker is less likely to be sufficient for detection of this difference, because the overall copy numbers are low. Typically there are approximately 100 to 200 copies of fetal DNA from 1 ml of maternal plasma at 10 to 12 weeks of gestation. However, the methods of the present invention offer a redundancy of detectable markers that enables highly reliable discrimination of diploid versus aneuploid chromosome sets.
  • detection of a chromosome abnormality refers to identification of an imbalance of chromosomes by processing data arising from detecting sets of amplified nucleic acid species, nucleotide sequence species, or a detectable product generated from the foregoing (collectively “detectable product”). Any suitable detection device and method can be used to distinguish one or more sets of detectable products, as addressed herein.
  • An outcome pertaining to the presence or absence of a chromosome abnormality can be expressed in any suitable form, including, without limitation, probability (e.g., odds ratio, p-value), likelihood, percentage, value over a threshold, or risk factor, associated with the presence of a chromosome abnormality for a subject or sample.
  • An outcome may be provided with one or more of sensitivity, specificity, standard deviation, coefficient of variation (CV) and/or confidence level, or combinations of the foregoing, in certain embodiments.
  • Detection of a chromosome abnormality based on one or more sets of detectable products may be identified based on one or more calculated variables, including, but not limited to, sensitivity, specificity, standard deviation, coefficient of variation (CV), a threshold, confidence level, score, probability and/or a combination thereof.
  • CV coefficient of variation
  • a threshold a threshold
  • confidence level a threshold
  • probability a combination thereof.
  • the number of sets selected for a diagnostic method, and/or (ii) the particular nucleotide sequence species of each set selected for a diagnostic method is determined in part or in full according to one or more of such calculated variables.
  • one or more of sensitivity, specificity and/or confidence level are expressed as a percentage.
  • the percentage independently for each variable, is greater than about 90% (e.g., about 90, 91, 92, 93, 94, 95, 96, 97, 98 or 99%, or greater than 99% (e.g., about 99.5%, or greater, a bout 99.9% or greater, about 99.95% or greater, about 99.99% or greater)).
  • Coefficient of variation in some embodiments is expressed as a percentage, and sometimes the percentage is about 10% or less (e.g., a bout 10, 9, 8, 7, 6, 5, 4, 3, 2 or 1%, or less than 1% (e.g., about 0.5% or less, about 0.1% or less, about 0.05% or less, about 0.01% or less)).
  • a probability (e.g., that a particular outcome determined by an algorithm is not due to chance) in certain embodiments is expressed as a p- value, and sometimes the p-value is about 0.05 or less (e.g., about 0.05, 0.04, 0.03, 0.02 or 0.01, or less than 0.01 (e.g., about 0.001 or less, about 0.0001 or less, about 0.00001 or less, about 0.000001 or less)).
  • scoring or a score may refer to calculating the probability that a particular chromosome abnormality is actually present or a bsent in a subject/sample.
  • the value of a score may be used to determine for example the variation, difference, or ratio of amplified nucleic detectable product that may correspond to the actual chromosome abnormality. For example, calculating a positive score from detectable products can lead to an identification of a chromosome abnormality, which is particularly relevant to analysis of single samples.
  • simulated (or simulation) data can aid data processing for example by training an algorithm or testing an algorithm.
  • Simulated data may for instance involve hypothetical various samples of different concentrations of fetal and maternal nucleic acid in serum, plasma and the like.
  • Simulated data may be based on what might be expected from a real population or may be skewed to test an algorithm and/or to assign a correct classification based on a simulated data set.
  • Simulated data also is referred to herein as "virtual" data.
  • Fetal/maternal contributions within a sample can be simulated as a table or array of numbers (for example, as a list of peaks corresponding to the mass signals of cleavage products of a reference biomolecule or amplified nucleic acid sequence), as a mass spectrum, as a pattern of bands on a gel, or as a representation of any technique that measures mass distribution. Simulations can be performed in most instances by a computer program.
  • One possible step in using a simulated data set is to evaluate the confidence of the identified results, i.e. how well the selected positives/negatives match the sample and whether there are additional variations.
  • a common approach is to calculate the probability value (p-value) which estimates the probability of a random sample having better score than the selected one. As p-value calculations can be prohibitive in certain circumstances, an empirical model may be assessed, in which it is assumed that at least one sample matches a reference sample (with or without resolved variations). Alternatively other distributions such as Poisson distribution can be used to describe the probability distribution.
  • an algorithm can assign a confidence value to the true positives, true negatives, false positives and false negatives calculated.
  • the assignment of a likelihood of the occurrence of a chromosome abnormality can also be based on a certain probability model.
  • Simulated data often is generated in an in silico process.
  • the term "in silico” refers to research and experiments performed using a computer. In silico methods include, but are not limited to, molecular modeling studies, karyotyping, genetic calculations, biomolecular docking experiments, and virtual representations of molecular structures and/or processes, such as molecular interactions.
  • a "data processing routine" refers to a process, that can be embodied in software, that determines the biological significance of acquired data (i.e., the ultimate results of an assay). For example, a data processing routine can determine the amount of each nucleotide sequence species based upon the data collected. A data processing routine also may control an instrument and/or a data collection routine based upon results determined. A data processing routine and a data collection routine often are integrated and provide feed back to operate data acquisition by the instrument, and hence provide assay-based judging methods provided herein.
  • software refers to computer readable program instructions that, when executed by a computer, perform computer operations.
  • software is provided on a program product containing program instructions recorded on a computer readable medium, including, but not limited to, magnetic media including floppy disks, hard disks, and magnetic tape; and optical media including CD-ROM discs, DVD discs, magneto-optical discs, and other such media on which the program instructions can be recorded.
  • true positive refers to a subject correctly diagnosed as having a chromosome abnormality.
  • false positive refers to a subject wrongly identified as having a chromosome abnormality.
  • true negative refers to a subject correctly identified as not having a chromosome abnormality.
  • false negative refers to a subject wrongly identified as not having a chromosome abnormality.
  • Two measures of performance for any given method can be calculated based on the ratios of these occurrences: (i) a sensitivity value, the fraction of predicted positives that are correctly identified as being positives (e.g., the fraction of nucleotide sequence sets correctly identified by level comparison
  • Example 1 the Applicants used a new fusion protein that captures methylated DNA in combination with CpG Island array to identify genomic regions that are differentially methylated between fetal placenta tissue and maternal blood.
  • a stringent statistical approach was used to only select regions which show little variation between the samples, and hence suggest an underlying biological mechanism.
  • Eighty-five differentially methylated genomic regions predominantly located on chromosomes 13, 18 and 21 were validated.
  • a quantitative mass spectrometry based approach was used that interrogated 261 PC amplicons covering these 85 regions. The results are in very good concordance (95% confirmation), proving the feasibility of the approach.
  • the Applicants provide an innovative approach for aneuploidy testing, which relies on the measurement of absolute copy numbers rather than allele ratios.
  • genomic DNA from maternal buffy coat and corresponding placental tissue was first extracted.
  • M BD-FC was used to capture the methylated fraction of each DNA sample. See Figures 1-3.
  • the two tissue fractions were labeled with different fluorescent dyes and hybridized to an Agilent ® CpG Island microarray. See Figure 4. This was done to identify differentially methylated regions that could be utilized for prenatal diagnoses. Therefore, two criteria were employed to select genomic regions as potential enrichment markers: the observed methylation difference had to be present in all tested sample pairs, and the region had to be more than 200 bp in length.
  • Genomic DNA (gDNA) from maternal buffy coat and placental tissue was prepared using the QIAamp DNA Mini KitTM and QIAamp DNA Blood Mini KitTM, respectively, from Qiagen ® (Hilden, Germany).
  • gDNA was quantified using the NanoDrop ND 1000TM spectrophotometer (Thermo Fisher ® , Waltham, MA,USA).
  • Ultrasonication of 2.5 ⁇ g DNA in 500 ⁇ TE buffer to a mean fragment size of 300- 500 bp was carried out with the Branson Digital Sonifier 450TM (Danbury, CT, USA) using the following settings: amplitude 20%, sonication time 110 seconds, pulse on/pulse off time 1.4/0.6 seconds.
  • Fragment range was monitored using gel electrophoresis.
  • Sonicated DNA (2 ⁇ g) was added to the washed MBD-Fc beads in 2 ml Buffer A and rotated for 3 hours at 4°C. Beads were centrifuged to recover unbound DNA fragments (300 mM fraction) and subsequently washed twice with 600 ⁇ of buffers containing increasing NaCI concentrations (400, 500, 550, 600, and 1000 mM). The flow through of each wash step was collected in separate tubes and desalted using a MinElute PCR Purification KitTM (Qiagen ® ). In parallel, 200 ng sonicated input DNA was processed as a control using the MinElute PC Purification KitTM (Qiagen ® ).
  • the 600 mM and 1M NaCI fractions (enriched methylated DNA) for each sample were combined and labeled with either Alexa Fluor 555- aha-dCTP (maternal) or Alexa Fluor 647-aha-dCTP (placental) using the BioPrime Total Genomic Labeling SystemTM (Invitrogen ® , Carlsbad, CA, USA).
  • the labeling reaction was carried out according to the manufacturer's manual.
  • Genomic DNA sodium bisulfite conversion was performed using EZ-96 DNA Methylation KitTM
  • Sequenom's MassARRAY ® System was used to perform quantitative methylation analysis. This system utilizes matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry in combination with RNA base specific cleavage (Sequenom ® MassCLEAVETM). A detectable pattern is then analyzed for methylation status. PCR primers were designed using Sequenom ® EpiDESIGNERTM
  • MassARRAYTM Compact MALDI-TOF (Sequenom ® , San Diego) and methylation ratios were generated by the EpiTYPERTM software vl.O (Sequenom ® , San Diego). Statistical analysis
  • Groups that contained less than 4 probes were excluded from the analysis. For groups including four or five probes, all probes were used in a paired t-test. For Groups with six or more probes, a sliding window test consisting of five probes at a time was used, whereby the window was moved by one probe increments. Each test sample was compared to the control sample and the p- values were recorded. Genomic regions were selected as being differentially methylated if eight out of ten samples showed a p value ⁇ 0.01, or if six out of ten samples showed a p value ⁇ 0.001.
  • genomic regions were classified as being not differentially methylated when the group showed less than eight samples with a p value ⁇ 0.01 and less than six samples with a p value ⁇ 0.001. Samples that didn't fall in either category were excluded from the analysis. For a subset of genomic regions that have been identified as differentially methylated, the results were confirmed using quantitative methylation analysis.
  • Go analysis was performed using the online GOstat tool (https://gostat.wehi.edu.au/cgibin/- goStat.pl). P values were calculated using Fisher's exact test.
  • a standard sample was used, in which the methylated DNA fraction of monocytes was hybridized against itself. This standard provided a reference for the variability of fluorescent measurements in a genomic region. Differentially methylated regions were then identified by comparing the log ratios of each of the ten placental/maternal samples against this standard. Because the goal of this study was to identify markers that allow the reliable separation of maternal and fetal DNA, the target selection was limited to genes that showed a stable, consistent methylation difference over a contiguous stretch of genomic DNA. This focused the analysis on genomic regions where multiple probes indicated differential methylation. The selection was also limited to target regions where all samples showed differential methylation, excluding those with strong inter- individual differences. Two of the samples showed generally lower log ratios in the microarray analysis. Because a paired test was used for target selection, this did not negatively impact the results.
  • a GO analysis of the set of differentially methylated genes reveals that this set is significantly enriched for functions important during development.
  • Example 2 describes a non-invasive approach for detecting the amount of fetal nucleic acid present in a maternal sample (herein referred to as the "Fetal Quantifier Method"), which may be used to detect or confirm fetal traits (e.g., fetal sex of hD compatibility), or diagnose chromosomal abnormalities such as Trisomy 21 (both of which are herein referred to as the "Methylation-Based Fetal Diagnostic Method”).
  • Figure 10 shows one embodiment of the Fetal Quantifier Method
  • Figure 11 shows one
  • Both processes use fetal DNA obtained from a maternal sample.
  • the sample comprises maternal and fetal nucleic acid that is differentially methylated.
  • the sample may be maternal plasma or serum.
  • Fetal DNA comprises approximately 2-30% of the total DNA in maternal plasma.
  • the actual amount of fetal contribution to the total nucleic acid present in a sample varies from pregnancy to pregnancy and can change based on a number of factors, including, but not limited to, gestational age, the mother's health and the fetus' health.
  • the technical challenge posed by analysis of fetal DNA in maternal plasma lies in the need to be able to discriminate the fetal DNA from the co-existing background maternal DNA.
  • the methods of the present invention exploit such differences, for example, the differential methylation that is observed between fetal and maternal DNA, as a means to enrich for the relatively small percentage of fetal DNA present in a sample from the mother.
  • the non-invasive nature of the approach provides a major advantage over conventional methods of prenatal diagnosis such as, amniocentesis, chronic villus sampling and cordocentesis, which are associated with a small but finite risk of fetal loss.
  • the method is not dependent on fetal cells being in any particular cell phase, the method provides a rapid detection means to determine the presence and also the nature of the chromosomal abnormality. Further, the approach is sex-independent (i.e., does not require the presence of a Y-chromosome) and polymorphic-independent (i.e., an allelic ratio is not determined).
  • the compositions and methods of the invention represent improved universal, noninvasive approaches for accurately determining the amount of fetal nucleic acid present in a maternal sample.
  • the present invention takes advantage of the presence of circulating, cell free fetal nucleic acid (ccfDNA) in maternal plasma or serum.
  • ccfDNA circulating, cell free fetal nucleic acid
  • the methods of the invention should only consume a small portion of the limited available fetal DNA. For example, less than 50%, 40%, 30%, 25%, 20%, 15%, 10%, 5% or less of the sample.
  • the approach should preferably be developed in a multiplex assay format in which one or more (preferably all) of the following assays are included: • Assays for the detection of total amount of genomic equivalents present in the sample, i.e., assays recognizing both maternal and fetal DNA species;
  • a target-specific, competitor oligonucleotide that is identical, or substantially identical, to the target sequence apart from a distinguishable feature of the competitor, such as a difference in one or more nucleotides relative to the target sequence.
  • This oligonucleotide when added into the PC reaction will be co-amplified with the target and a ratio obtained between these two PCR amplicons will indicate the number of target specific DNA sequences (e.g., fetal DNA from a specific locus) present in the maternal sample.
  • the amplicon lengths should preferably be of similar length in order not to skew the
  • Differentially methylated targets can be selected from Tables 1A-1C or from any other targets known to be differentially methylated between mother and fetus. These targets can be hypomethylated in DNA isolated from non-pregnant women and hypermethylated in samples obtained from fetal samples. These assays will serve as controls for the restriction efficiency.
  • fetal fraction of the amplifiable genomes fetal concentration or percentage
  • Differences in copy number between fetally-derived DNA sequences for example, between fetal chromosome 21 and a reference chromosome such as chromosome 3).
  • methylation sensitive restriction enzymes for example, Hhal and Hpall.
  • Genomic Amplification- PCR was performed in a total volume of 50 ul by adding PCR reagents (Buffer, dNTPs, primers and polymerase). Exemplary PCR and extend primers are provided below. In addition, synthetic competitor oligonucleotide was added at known concentrations.
  • the primer extension products can be simultaneously separated and detected using Matrix Assisted Laser Desorption/lonization, Time-Of-Flight (MALDI-TOF) mass spectrometry on the MassARRAY ® Analyzer Compact. Following this separation and detection, SEQUENOM's proprietary software automatically analyzes the data.
  • MALDI-TOF Time-Of-Flight
  • Targets were selected in housekeeping genes not located on the chromosomes 13, 18, 21, X or Y.
  • the targets should be in a single copy gene and not contain any recognition sites for the methylation sensitive restriction enzymes.
  • Targets specific for the Y-chromosome were selected, with no similar or paralog sequences elsewhere in the genome.
  • the targets should preferably be in a single copy gene and not contain any recognition sites for the methylation sensitive restriction enzyme(s).
  • Underlined sequences are PCR primer sites, and italic nucleotide(s) is the site for the single-base extend primer and bold letter (C) is the nucleotide extended on human DNA.
  • Targets were selected in regions known to be differentially methylated between maternal and fetal DNA. Sequences were selected to contain several restriction sites for methylation sensitive enzymes. For this study the Hhal (GCGC) and Hpall (CCGG) enzymes were used.
  • Underlined sequences are PCR primer sites, italic is the site for the single base extend primer and bold letter (C) is the nucleotide extended on human DNA, lower case letter are recognition sites for the methylation sensitive restriction enzymes.
  • Targets were selected in regions known not to be methylated in any tissue to be investigated.
  • Sequences were selected to contain no more than one site for each restriction enzyme to be used.
  • the sensitivity and accuracy of the present invention was measured using both a model system and clinical samples.
  • a multiplex assay was run that contains 2 assays for total copy number quantification, 3 assays for methylation quantification, 1 assay specific for chromosome Y and 1 digestion control assay. See Table X.
  • Another multiplex scheme with additional assays is provided in Table Y.
  • a model system was developed to simulate DNA samples isolated from plasma. These samples contained a constant number of maternal non-methylated DNA and were spiked with different amounts of male placental methylated DNA. The samples were spiked with amounts ranging from approximately 0 to 25% relative to the maternal non-methylated DNA. The results are shown in Figures 13A and B. The fraction of placental DNA was calculated using the ratios obtained from the methylation assays ( Figure 13A), the S Y markers ( Figure 13B) and the total copy number assays. The primer sequences for the methylation assays (TBX), Y-chromosome assays (SRY) and total copy number (APOE) are provided above. The model system demonstrated that the methylation-based method performed equal to the Y-chromosome method (SRY markers), thus validating the methylation- based method as a sex-independent fetal quantifier.
  • Figure 14A The results from the total copy number quantification can be seen in Figures 14A and B.
  • Figure 14A the copy number for each sample is shown. Two samples (nos. 25 and 26) have a significantly higher total copy number than all the other samples. In general, a mean of approximately 1300 amplifiable copies/ml plasma was obtained (range 766-2055).
  • Figure 14B shows a box-and-whisker plot of the given values, summarizing the results.
  • Figures 15A and B the numbers of fetal copies for each sample are plotted. As all samples were from male pregnancies. The copy numbers obtained can be calculated using either the methylation or the Y- chromosome-specific markers. As can be seen in Figure 15B, the box-and-whisker plot of the given values indicated minimal difference between the two different measurements.
  • Mass spectra analysis was done using Typer 4 (a Sequenom software product). The peak height (signal over noise) for each individual DNA analyte and competitor assay was determined and exported for further analysis.
  • the total number of molecules present for each amplicon was calculated by dividing the DNA specific peak by the competitor specific peak to give a ratio. (The "DNA” Peak in Figures 18 and 19 can be thought of as the analyte peak for a given assay). Since the number of competitor molecules added into the reaction is known, the total number of DNA molecules can be determined by multiplying the ratio by the number of added competitor molecules.
  • the fetal DNA fraction (or concentration) in each sample was calculated using the Y-chromosome- specific markers for male pregnancies and the mean of the methylated fraction for all pregnancies.
  • the ratio was obtained by dividing the analyte (DNA) peak by the competitor peak and multiplying this ratio by the number of competitor molecules added into the reaction. This value was divided by a similar ratio obtained from the total number of amplifiable genome equivalents determination (using the Assay(s) for Total Amount). See Figure 18. Since the total amount of nucleic acid present in a sample is a sum of maternal and fetal nucleic acid, the fetal contribution can be considered to be a fraction of the larger, background maternal contribution.
  • a first simple power calculation was performed that assumes a measurement system that uses 20 markers from chromosome 21, and 20 markers from one or more other autosomes. Starting with 100 copies of fetal DNA, a measurement standard deviation of 25 copies and the probability for a type I error to be lower than 0.001, it was found that the methods of the invention will be able to differentiate a diploid from a triploid chromosome set in 99.5% of all cases.
  • the practical implementation of such an approach could for example be achieved using mass spectrometry, a system that uses a competitive PCR approach for absolute copy number measurements.
  • the method can run 20 assays in a single reaction and has been shown to have a standard deviation in repeated measurements of around 3 to 5%.
  • FIG. 8 shows the effectiveness of MBD- FC protein (a methyl-binding agent) for capturing and thereby separating methylated DNA in the presence of an excess of unmethylated DNA (see Figure 8).
  • a second statistical power analysis was performed to assess the predictive power of an embodiment of the Methylation-Based Fetal Diagnostic Method described herein.
  • the simulation was designed to demonstrate the likelihood of differentiating a group of trisomic chromosome 21 specific markers from a group of reference markers (for example, autosomes excluding chromosome 21). Many parameters influence the ability to discriminate the two populations of markers reliably. For the present simulation, values were chosen for each parameter that have been shown to be the most likely to occur based on experimentation. The following parameters and respective values were used:
  • Average methylation percentage in a target region for fetal DNA 80%
  • differentially-methylated targets were selected for further analysis based upon previous microarray analysis. See Example 1 for a description of the microarray analysis.
  • DM s differentially methylated regions
  • Regions were selected for EpiTYPER confirmation based upon being hypermethylated in placenta relative to PBMC.
  • regions were chosen based upon statistical significance with regions designed beginning with the most significant and working downward in terms of significance.
  • the microarray screen uncovered only a subset of DMRs located on chromosome 21.
  • the coverage of chromosome 21 by the microarray was insufficient. Therefore a further analysis was completed to examine all 356 CpG islands on chromosome 21 using the standard settings of the UCSC genome browser. As shown in Table 1C below, some of these targets overlapped with those already examined in Table 1A. More specifically, CpG sites located on chromosome 21 including ⁇ 1000bp upstream and downstream of each CpG was investigated using Sequenom's EpiTYPER ® technology. See Example 1, "Validation using Sequenom 9 EpiTYPERTM" for a description of Sequenom's EpiTYPER ® technology.
  • Tables IB and 1C provide a description of the different targets, including their location and whether they were analyzed during the different phases of analysis, namely microarray analysis, EpiTYPER 8 analysis and EpiTYPER 73 analysis. A “YES” indicates it was analyzed and a “NO” indicates it was not analyzed. The definition of each column in Table IB and 1C is listed below.
  • Region Name Each region is named by the gene(s) residing within the area defined or nearby.
  • Regions where no gene name is listed but rather only contain a locus have no refseq genes in near proximity.
  • Gene Region For those regions contained either in close proximity to or within a gene, the gene region further explains the relationship of this region to the nearby gene.
  • Chrom The chromosome on which the DMR is located using the hgl8 build of the UCSC genome browser.
  • PBMC Alexa Fluor 555-aha-dCTP
  • Alexa Fluor 647-aha-dCTP placental
  • PBMC peripheral blood mononuclear cells
  • EpiTYPER 73 Samples Describes whether this region was subsequently analyzed using EpiTYPER technology in a sample cohort consisting of 73 paired samples of placenta and PBMC. All regions selected for analysis in this second sample cohort were selected based on the results from the experimentation described in the EpiTYPER 8 column. More specifically, the regions in this additional cohort exhibited a methylation profile similar to that determined in the EpiTYPER 8 Samples analysis. For example, all of the regions listed in Tables 1B-1C exhibit different levels of DNA methylation in a significant portion of the examined CpG dinucleotides within the defined region. Differential DNA methylation of CpG sites was determined using a paired T Test with those sites considered differentially methylated if the p-value (when comparing placental tissue to PBMC) is p ⁇ 0.05.
  • Regions labeled as "hypermethylation” are more methylated within the designated region in placenta samples relative to PBMC and "hypomethylation" are more methylated within the designated region in PBMC samples.
  • chr13 1 11595459- chr13 group00385 chr13 1 11595578 1 1 1595955 0.87 0.06 0.2 0.14 HYPERMETHYLATION
  • chr13 1 11755805- chr13 group00390 chr13 1 11756337 1 1 1756593 0.71 0.12 0.34 0.22 HYPERMETHYLATION
  • chr13 1 11757885- chr13 group00391 chr13 1 11759856 1 1 1760045 0.86 0.1 1 0.36 0.25 HYPERMETHYLATION
  • chr12 1 18515877- chr12 group00801 chr12 1 18516189 1 18517435 1.1 0.06 0.25 0.19 HYPERMETHYLATION
  • rs4433898 rs34497518; rs35135773; rs6566677; rs57425572; rs36026929; rs34666288; rs10627137; rs35943684; rs9964226; rs4892054; rs9964397; rs4606820; rs12966677;
  • rs2236618 rs1 1908971 ; rs9975039; rs6517135; rs2009130; rs1005573; rs1122807; rs10653491 ; rs10653077; rs35086972; rs28588289; rs7509766; rs622161 14; rs35561747;
  • rs2843956 rs55941652; rs56020428; rs56251824; rs13051109; rs13051 1 1 1 ; rs3833348; rs7510136; rs743289; rs5843690; rs33915227; rs11402829; rs2843723; rs8128138;
  • GCTTTGGATTTATCCTCA GGCTAAATCCCTCCTGAAACATGAAACTGAAACAAAGCCCTGAACCCCCTCAGGCTGAAAAGACAAACCCCGCCTGAGGCCGG TCCCGCTCCCCACCTGGAGGGACCCAATTCTGGGCGCCTTCTGGCGACGGTCCCTGCTAGGGACGCTGCGCTCTCCGAGTGCGAGTTTTCGCCAAACTGATAA
  • AAAGAAT GAAGT C AT GCCCCGGCCTGCACCC GGGAAAC T GC AC AC AGC G
  • AAAGAT C GC C AC T GAGAT AAAGAGC T GAAAGC TATTCCCCAATTCAGC

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Abstract

Provided are compositions and processes that utilize genomic regions that are differentially methylated between a mother and her fetus to separate, isolate or enrich fetal nucleic acid from a maternal sample. The compositions and processes described herein are particularly useful for non-invasive prenatal diagnostics, including the detection of chromosomal aneuplodies.

Description

PROCESSES AND COMPOSITIONS FOR METHYLATION-BASED ENRICHMENT OF FETAL NUCLEIC ACID FROM A MATERNAL SAMPLE USEFUL FOR NON-INVASIVE PRENATAL DIAGNOSES
RELATED PATENT APPLICATIONS
This patent application is a continuation-in-part of U.S. Patent Application No. 12/561,241, filed
September 16, 2009, having the sa me title as this application, and designated by attorney docket no. SEQ-6022-UT, which claims the benefit of U.S. Provisional Patent Application No. 61/192,264, filed September 16, 2008 and designated by attorney docket no. SEQ-6022-PV. The entire content of the foregoing patent applications is incorporated by reference herein, including all text, drawings and ta bles.
FIELD
The technology in part relates to prenatal diagnostics and enrichment methods. BACKGROUND
Non-invasive prenatal testing is becoming a field of rapidly growing interest. Early detection of pregnancy-related conditions, including complications during pregnancy and genetic defects of the fetus is of crucial importance, as it allows early medical intervention necessary for the safety of both the mother and the fetus. Prenatal diagnosis has been conducted using cells isolated from the fetus through procedures such as chorionic villus sampling (CVS) or amniocentesis. However, these conventional methods are invasive and present an apprecia ble risk to both the mother and the fetus. The National Health Service currently cites a miscarriage rate of between 1 and 2 per cent following the invasive amniocentesis and chorionic villus sampling (CVS) tests.
An alternative to these invasive approaches has been developed for prenatal screening, e.g., to detecting fetal a bnormalities, following the discovery that circulating cell-free fetal nucleic acid can be detected in maternal plasma and serum (Lo et al., Lancet 350:485-487, 1997; and U.S. Patent
6,258,540). Circulating cell free fetal nucleic acid (cffNA) has several advantages making it more applica ble for non-invasive prenatal testing. For example, cell free nucleic acid is present at higher levels than fetal cells and at concentrations sufficient for genetic analysis. Also, cffNA is cleared from the maternal bloodstream within hours after delivery, preventing contamination from previous pregnancies.
Examples of prenatal tests performed by detecting fetal DNA in maternal plasma or serum include fetal rhesus D ( hD) genotyping (Lo et al., N. Engl. J. Med. 339:1734-1738, 1998), fetal sex determination (Costa et al., N. Engl. J. Med. 346: 1502, 2002), and diagnosis of several fetal disorders (Amicucci et al., Clin. Chem. 46:301-302, 2000; Saito et al., Lancet 356: 1170, 2000; and Chiu et al., Lancet 360:998-1000, 2002). In addition, quantitative a bnormalities of fetal DNA in maternal plasma/serum have been reported in preeclampsia (Lo et al., Clin. Chem. 45: 184-188, 1999 and Zhong et al., Am. J. Obstet.
Gynecol. 184:414-419, 2001), fetal trisomy 21 (Lo et al., Clin. Chem. 45: 1747-1751, 1999 and Zhong et al., Prenat. Diagn. 20:795-798, 2000) and hyperemesis gravidarum (Sekizawa et al., Clin. Chem. 47:2164- 2165, 2001).
SUMMARY
The invention provides inter alia human epigenetic biomarkers that are useful for the noninvasive detection of fetal genetic traits, including, but not limited to, the presence or absence of fetal nucleic acid, the absolute or relative amount of fetal nucleic acid, fetal sex, and fetal chromosomal
abnormalities such as aneuploidy. The human epigenetic biomarkers of the invention represent genomic DNA that display differential CpG methylation patterns between the fetus and mother. The compositions and processes of the invention allow for the detection and quantification of fetal nucleic acid in a maternal sample based on the methylation status of the nucleic acid in said sample. More specifically, the amount of fetal nucleic acid from a maternal sample can be determined relative to the total amount of nucleic acid present, thereby providing the percentage of fetal nucleic acid in the sample. Further, the amount of fetal nucleic acid can be determined in a sequence-specific (or locus- specific) manner and with sufficient sensitivity to allow for accurate chromosomal dosage analysis (for example, to detect the presence or a bsence of a fetal aneuploidy).
In the first aspect of the invention, a method is provided for enriching fetal nucleic acids from a maternal biological sample, based on differential methylation between fetal and maternal nucleic acid comprising the steps of: (a) binding a target nucleic acid, from a sample, and a control nucleic acid, from the sample, to a methylation-specific binding protein; and (b) eluting the bound nucleic acid based on methylation status, wherein differentially methylated nucleic acids elute at least partly into separate fractions. In an embodiment, the nucleic acid sequence includes one or more of the polynucleotide sequences of SEQ ID NOs: 1-261. SEQ ID NOs: 1-261 are provided in Tables 4A-4C. The invention includes the sequences of SEQ ID NOs: 1-261, and variations thereto. In an embodiment, a control nucleic acid is not included in step (a).
In a related embodiment, a method is provided for enriching fetal nucleic acid from a maternal sample, which comprises the following steps: (a) obtaining a biological sample from a woman; (b) separating fetal and maternal nucleic acid based on the methylation status of a CpG-containing genomic sequence in the sample, wherein the genomic sequence from the fetus and the genomic sequence from the woman are differentially methylated, thereby distinguishing the genomic sequence from the woman and the genomic sequence from the fetus in the sample. In an embodiment, the genomic sequence is at least 15 nucleotides in length, comprising at least one cytosine, further wherein the region consists of (1) a genomic locus selected from Tables 1A-1C; and (2) a DNA sequence of no more than 10 kb upstream and/or downstream from the locus. For this aspect and all aspects of the invention, obtaining a biological sample from a woman is not meant to limit the scope of the invention. Said obtaining can refer to actually drawing a sample from a woman (e.g., a blood draw) or to receiving a sample from elsewhere (e.g., from a clinic or hospital) and performing the remaining steps of the method.
In a related embodiment, a method is provided for enriching fetal nucleic acid from a maternal sample, which comprises the following steps: (a) obtaining a biological sample from the woman; (b) digesting or removing maternal nucleic acid based on the methylation status of a CpG-containing genomic sequence in the sample, wherein the genomic sequence from the fetus and the genomic sequence from the woman are differentially methylated, thereby enriching for the genomic sequence from the fetus in the sample. Maternal nucleic acid may be digested using one or more methylation sensitive restriction enzymes that selectively digest or cleave maternal nucleic acid based on its methylation status. In an embodiment, the genomic sequence is at least 15 nucleotides in length, comprising at least one cytosine, further wherein the region consists of (1) a genomic locus selected from Tables 1A-1C; and (2) a DNA sequence of no more than 10 kb upstream and/or downstream from the locus.
In a second aspect of the invention, a method is provided for preparing nucleic acid having a nucleotide sequence of a fetal nucleic acid, which comprises the following steps: (a) providing a sample from a pregnant female; (b) separating fetal nucleic acid from maternal nucleic acid from the sample of the pregnant female according to a different methylation state between the fetal nucleic acid and the maternal nucleic acid counterpart, wherein the nucleotide sequence of the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1-261 within a polynucleotide sequence from a gene or locus that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261; and (c) preparing nucleic acid comprising a nucleotide sequence of the fetal nucleic acid by an amplification process in which fetal nucleic acid separated in part (b) is utilized as a template. In an embodiment, a method is provided for preparing nucleic acid having a nucleotide sequence of a fetal nucleic acid, which comprises the following steps: (a) providing a sample from a pregnant female; (b) digesting or removing maternal nucleic acid from the sample of the pregnant female according to a different methylation state between the fetal nucleic acid and the maternal nucleic acid counterpart, wherein the nucleotide sequence of the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1-261 within a polynucleotide sequence from a gene that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261; and (c) preparing nucleic acid comprising a nucleotide sequence of the fetal nucleic acid. The preparing process of step (c) may be a hybridization process, a capture process, or an amplification process in which fetal nucleic acid separated in part (b) is utilized as a template. Also, in the above embodiment wherein maternal nucleic acid is digested, the maternal nucleic acid may be digested using one or more methylation sensitive restriction enzymes that selectively digest or cleave maternal nucleic acid based on its methylation status. In either embodiment, the polynucleotide sequences of SEQ ID NOs: 1-261 may be within a polynucleotide sequence from a CpG island that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261. The polynucleotide sequences of SEQ ID NOs: 1-261 are further characterized in Tables 1-3 herein, including the identification of CpG islands that overlap with the polynucleotide sequences provided in SEQ ID NOs: 1-261. In an embodiment, the nucleic acid prepared by part (c) is in solution. In yet an embodiment, the method further comprises quantifying the fetal nucleic acid from the amplification process of step (c).
In a third aspect of the invention, a method is provided for enriching fetal nucleic acid from a sample from a pregnant female with respect to maternal nucleic acid, which comprises the following steps: (a) providing a sample from a pregnant female; and (b) separating or capturing fetal nucleic acid from maternal nucleic acid from the sample of the pregnant female according to a different methylation state between the fetal nucleic acid and the maternal nucleic acid, wherein the nucleotide sequence of the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1-261 within a polynucleotide sequence from a gene that contains one of the
polynucleotide sequences of SEQ ID NOs: 1-261. In an embodiment, the polynucleotide sequences of SEQ ID NOs: 1-261 may be within a polynucleotide sequence from a CpG island that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261. The polynucleotide sequences of SEQ ID NOs: 1-261 are characterized in Tables 1A-1C herein. In an embodiment, the nucleic acid separated by part (b) is in solution. In yet an embodiment, the method further comprises amplifying and/or quantifying the fetal nucleic acid from the separation process of step (b).
In a fourth aspect of the invention, a composition is provided comprising an isolated nucleic acid from a fetus of a pregnant female, wherein the nucleotide sequence of the nucleic acid comprises one or more of the polynucleotide sequences of SEQ ID NOs: 1-261. In one embodiment, the nucleotide sequence consists essentially of a nucleotide sequence of a gene, or portion thereof. In an embodiment, the nucleotide sequence consists essentially of a nucleotide sequence of a CpG island, or portion thereof. The polynucleotide sequences of SEQ ID NOs: 1-261 are further characterized in Tables 1A-1C. In an embodiment, the nucleic acid is in solution. In an embodiment, the nucleic acid from the fetus is enriched relative to maternal nucleic acid. In an embodiment, the composition further comprises an agent that binds to methylated nucleotides. For example, the agent may be a methyl-CpG binding protein (MBD) or fragment thereof.
In a fifth aspect of the invention, a composition is provided comprising an isolated nucleic acid from a fetus of a pregnant female, wherein the nucleotide sequence of the nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1-261 within a
polynucleotide sequence from a gene, or portion thereof, that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261. In an embodiment, the nucleotide sequence of the nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 1- 261 within a polynucleotide sequence from a CpG island, or portion thereof, that contains one of the polynucleotide sequences of SEQ ID NOs: 1-261. The polynucleotide sequences of SEQ ID NOs: 1-261 are further characterized in Tables 1A-1C. In an embodiment, the nucleic acid is in solution. In an embodiment, the nucleic acid from the fetus is enriched relative to maternal nucleic acid. Hyper- and hypomethylated nucleic acid sequences of the invention are identified in Tables 1A-1C. In an embodiment, the composition further comprises an agent that binds to methylated nucleotides. For example, the agent may be a methyl-CpG binding protein (MBD) or fragment thereof.
In some embodiments, a nucleotide sequence of the invention includes three or more of the CpG sites. In an embodiment, the nucleotide sequence includes five or more of the CpG sites. In an embodiment, the nucleotide sequence is from a gene region that comprises a P C2 domain (see Table 3). In an embodiment, the nucleotide sequence is from a gene region involved with development. For example, SOX14 - which is an epigenetic marker of the present invention (See Table 1) - is a member of the SOX (SRY-related HMG-box) family of transcription factors involved in the regulation of embryonic development and in the determination of cell fate. In some embodiments, the genomic sequence from the woman is methylated and the genomic sequence from the fetus is unmethylated. In other embodiments, the genomic sequence from the woman is unmethylated and the genomic sequence from the fetus is methylated. In an embodiment, the genomic sequence from the fetus is hypermethylated relative to the genomic sequence from the mother. Fetal genomic sequences found to be hypermethylated relative to maternal genomic sequence are provided in SEQ ID NOs: 1-59, 90-163, 176, 179, 180, 184, 188, 189, 190, 191, 193, 195, 198, 199, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 221, 223, 225, 226, 231, 232, 233, 235, 239, 241, 257, 258, 259, and 261. Alternatively, the genomic sequence from the fetus is hypomethylated relative to the genomic sequence from the mother. Fetal genomic sequences found to be hypomethylated relative to maternal genomic sequence are provided in SEQ ID NOs: 60-85, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 181, 182, 183, 185, 186, 187, 192, 194, 196, 197, 204, 215, 216, 217, 218, 219, 220, 222, 224, 227, 228, 229, 230, 234, 236, 237, 238, 240, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, and 260. Methylation sensitive restriction enzymes of the invention may be sensitive to hypo- or hyper- methylated nucleic acid.
In an embodiment, the fetal nucleic acid is extracellular nucleic acid. Generally the extracellular fetal nucleic acid is about 500, 400, 300, 250, 200 or 150 (or any number there between) nucleotide bases or less. In an embodiment, the digested maternal nucleic acid is less than about 90, 100, 110, 120, 130, 140 or 150 base pairs. In a related embodiment, the fetal nucleic acid is selectively amplified, captured or separated from or relative to the digested maternal nucleic acid based on size. For example, PC primers may be designed to amplify nucleic acid greater than about 75, 80, 85, 90, 95, 100, 105, 110, 115 or 120 (or any number there between) base pairs thereby amplifying fetal nucleic acid and not digested maternal nucleic acid. In an embodiment, the nucleic acid is subjected to fragmentation prior to the methods of the invention. Examples of methods of fragmenting nucleic acid, include but are not limited to sonication and restriction enzyme digestion. In some embodiments the fetal nucleic acid is derived from the placenta. In other embodiments the fetal nucleic acid is apoptotic.
In some embodiments, the present invention provides a method in which the sample is a member selected from the following: maternal whole blood, maternal plasma or serum, amniotic fluid, a chorionic villus sample, biopsy material from a pre-implantation embryo, fetal nucleated cells or fetal cellular remnants isolated from maternal blood, maternal urine, maternal saliva, washings of the female reproductive tract and a sample obtained by celocentesis or lung lavage. In certain embodiments, the biological sample is maternal blood. In some embodiments, the biological sample is a chorionic villus sample. In certain embodiments, the maternal sample is enriched for fetal nucleic acid prior to the methods of the present invention. Examples of fetal enrichment methods are provided in PCT
Publication Nos. WO/2007140417A2, WO2009/032781A2 and US Publication No. 20050164241.
In some embodiments, all nucleated and anucleated cell populations are removed from the sample prior to practicing the methods of the invention. In some embodiments, the sample is collected, stored or transported in a manner known to the person of ordinary skill in the art to minimize degradation or the quality of fetal nucleic acid present in the sample. The sample can be from any animal, including but not limited, human, non-human, mammal, reptile, cattle, cat, dog, goat, swine, pig, monkey, ape, gorilla, bull, cow, bear, horse, sheep, poultry, mouse, rat, fish, dolphin, whale, and shark, or any animal or organism that may have a detectable pregnancy- associated disorder or chromosomal abnormality.
In some embodiments, the sample is treated with a reagent that differentially modifies methylated and unmethylated DNA. For example, the reagent may comprise bisulfite; or the reagent may comprise one or more enzymes that preferentially cleave methylated DNA; or the reagent may comprise one or more enzymes that preferentially cleave unmethylated DNA. Examples of methylation sensitive restriction enzymes include, but are not limited to, Hhal and Hpall.
In one embodiment, the fetal nucleic acid is separated from the maternal nucleic acid by an agent that specifically binds to methylated nucleotides in the fetal nucleic acid. In an embodiment, the fetal nucleic acid is separated or removed from the maternal nucleic acid by an agent that specifically binds to methylated nucleotides in the maternal nucleic acid counterpart. In an embodiment, the agent that binds to methylated nucleotides is a methyl-CpG binding protein (MBD) or fragment thereof.
In a sixth aspect of the invention, a method is provided for determining the amount or copy number of fetal DNA in a maternal sample that comprises differentially methylated maternal and fetal DNA. The method is performed by a) distinguishing between the maternal and fetal DNA based on differential methylation status; and b) quantifying the fetal DNA of step a). In a specific embodiment, the method comprises a) digesting the maternal DNA in a maternal sample using one or more methylation sensitive restriction enzymes thereby enriching the fetal DNA; and b) determining the amount of fetal DNA from step a). The amount of fetal DNA can be used inter alia to confirm the presence or absence of fetal nucleic acid, determine fetal sex, diagnose fetal disease or a pregnancy-associated disorder, or be used in conjunction with other fetal diagnostic methods to improve sensitivity or specificity. In one embodiment, the method for determining the amount of fetal DNA does not require the use of a polymorphic sequence. For example, an allelic ratio is not used to quantify the fetal DNA in step b). In an embodiment, the method for determining the amount of fetal DNA does not require the treatment of DNA with bisulfite to convert cytosine residues to uracil. Bisulfite is known to degrade DNA, thereby, further reducing the already limited fetal nucleic acid present in maternal samples. In one embodiment, determining the amount of fetal DNA in step b) is done by introducing one or more competitors at known concentrations. In an embodiment, determining the amount of fetal DNA in step b) is done by T-PC , primer extension, sequencing or counting. In a related embodiment, the amount of nucleic acid is determined using BEAMing technology as described in US Patent Publication No. US20070065823. In a another related embodiment, the amount of nucleic acid is determined using the shotgun sequencing technology described in US Patent Publication No. US20090029377 (US Application No. 12/178,181), or variations thereof. In an embodiment, the restriction efficiency is determined and the efficiency rate is used to further determine the amount of fetal DNA. Exemplary differentially methylated nucleic acids are provided in SEQ ID NOs: 1-261. In a seventh aspect of the invention, a method is provided for determining the concentration of fetal DNA in a maternal sample, wherein the maternal sample comprises differentially methylated maternal and fetal DNA, comprising a) determining the total amount of DNA present in the maternal sample; b) selectively digesting the maternal DNA in a maternal sample using one or more methylation sensitive restriction enzymes thereby enriching the fetal DNA; c) determining the amount of fetal DNA from step b); and d) comparing the amount of fetal DNA from step c) to the total amount of DNA from step a), thereby determining the concentration of fetal DNA in the maternal sample. The concentration of fetal DNA can be used inter alia in conjunction with other fetal diagnostic methods to improve sensitivity or specificity. In one embodiment, the method for determining the amount of fetal DNA does not require the use of a polymorphic sequence. For example, an allelic ratio is not used to quantify the fetal DNA in step b). In an embodiment, the method for determining the amount of fetal DNA does not require the treatment of DNA with bisulfite to convert cytosine residues to uracil. In one embodiment, determining the amount of fetal DNA in step b) is done by introducing one or more competitors at known concentrations. In an embodiment, determining the amount of fetal DNA in step b) is done by T-PC , sequencing or counting. In an embodiment, the restriction efficiency is determined and used to further determine the amount of total DNA and fetal DNA. Exemplary differentially methylated nucleic acids are provided in SEQ ID NOs: 1-261.
In an eighth aspect of the invention, a method is provided for determining the presence or absence of a fetal aneuploidy using fetal DNA from a maternal sample, wherein the maternal sample comprises differentially methylated maternal and fetal DNA, comprising a) selectively digesting the maternal DNA in a maternal sample using one or more methylation sensitive restriction enzymes thereby enriching the fetal DNA; b) determining the amount of fetal DNA from a target chromosome; c) determining the amount of fetal DNA from a reference chromosome; and d) comparing the amount of fetal DNA from step b) to step c), wherein a biologically or statistically significant difference between the amount of target and reference fetal DNA is indicative of the presence of a fetal aneuploidy. In one embodiment, the method for determining the amount of fetal DNA does not require the use of a polymorphic sequence. For example, an allelic ratio is not used to quantify the fetal DNA in step b). In an embodiment, the method for determining the amount of fetal DNA does not require the treatment of DNA with bisulfite to convert cytosine residues to uracil. In one embodiment, determining the amount of fetal DNA in steps b) and c) is done by introducing one or more competitors at known concentrations. In an embodiment, determining the amount of fetal DNA in steps b) and c) is done by RT-PCR, sequencing or counting. In an embodiment, the amount of fetal DNA from a target chromosome determined in step b) is compared to a standard control, for example, the amount of fetal DNA from a target chromosome from euploid pregnancies. In an embodiment, the restriction efficiency is determined and used to further determine the amount of fetal DNA from a target chromosome and from a reference chromosome. Exemplary differentially methylated nucleic acids are provided in SEQ ID NOs: 1-261.
In a ninth aspect of the invention, a method is provided for detecting the presence or absence of a chromosomal abnormality by analyzing the amount or copy number of target nucleic acid and control nucleic acid from a sample of differentially methylated nucleic acids comprising the steps of: (a) enriching a target nucleic acid, from a sample, and a control nucleic acid, from the sample, based on its methylation state; (b) performing a copy number analysis of the enriched target nucleic acid in at least one of the fractions; (c) performing a copy number analysis of the enriched control nucleic acid in at least one of the fractions; (d) comparing the copy number from step (b) with the copy number from step (c); and (e) determining if a chromosomal abnormality exists based on the comparison in step (d), wherein the target nucleic acid and control nucleic acid have the same or substantially the same methylation status. In a related embodiment, a method is provided for detecting the presence or absence of a chromosomal abnormality by analyzing the amount or copy number of target nucleic acid and control nucleic acid from a sample of differentially methylated nucleic acids comprising the steps of: (a) binding a target nucleic acid, from a sample, and a control nucleic acid, from the sample, to a binding agent; (b) eluting the bound nucleic acid based on methylation status, wherein differentially methylated nucleic acids elute at least partly into separate fractions; (c) performing a copy number analysis of the eluted target nucleic acid in at least one of the fractions; (d) performing a copy number analysis of the eluted control nucleic acid in at least one of the fractions; (e) comparing the copy number from step (c) with the copy number from step (d); and (f) determining if a chromosomal abnormality exists based on the comparison in step (e), wherein the target nucleic acid and control nucleic acid have the same or substantially the same methylation status. Differentially methylated nucleic acids are provided in SEQ ID NOs: 1-261.
In a tenth aspect of the invention, a method is provided for detecting the presence or absence of a chromosomal abnormality by analyzing the allelic ratio of target nucleic acid and control nucleic acid from a sample of differentially methylated nucleic acids comprising the steps of: (a) binding a target nucleic acid, from a sample, and a control nucleic acid, from the sample, to a binding agent; (b) eluting the bound nucleic acid based on methylation status, wherein differentially methylated nucleic acids elute at least partly into separate fractions; (c) performing an allelic ratio analysis of the eluted target nucleic acid in at least one of the fractions; (d) performing an allelic ratio analysis of the eluted control nucleic acid in at least one of the fractions; (e) comparing the allelic ratio from step c with the all from step d; and (f) determining if a chromosomal abnormality exists based on the comparison in step (e), wherein the target nucleic acid and control nucleic acid have the same or substantially the same methylation status. Differentially methylated nucleic acids are provided in SEQ ID NOs: 1-261, and SNPs within the differentially methylated nucleic acids are provided in Table 2. The methods may also be useful for detecting a pregnancy-associated disorder.
In an eleventh aspect of the invention, the amount of maternal nucleic acid is determined using the methylation-based methods of the invention. For example, fetal nucleic acid can be separated (for example, digested using a methylation-sensitive enzyme) from the maternal nucleic acid in a sample, and the maternal nucleic acid can be quantified using the methods of the invention. Once the amount of maternal nucleic acid is determined, that amount can subtracted from the total amount of nucleic acid in a sample to determine the amount of fetal nucleic acid. The amount of fetal nucleic acid can be used to detect fetal traits, including fetal aneuploidy, as described herein.
For all aspects and embodiments of the invention described herein, the methods may also be useful for detecting a pregnancy-associated disorder. In some embodiments, the sample comprises fetal nucleic acid, or fetal nucleic acid and maternal nucleic acid. In the case when the sample comprises fetal and maternal nucleic acid, the fetal nucleic acid and the maternal nucleic acid may have a different methylation status. Nucleic acid species with a different methylation status can be differentiated by any method known in the art. In an embodiment, the fetal nucleic acid is enriched by the selective digestion of maternal nucleic acid by a methylation sensitive restriction enzyme. In an embodiment, the fetal nucleic acid is enriched by the selective digestion of maternal nucleic acid using two or more methylation sensitive restriction enzymes in the same assay. In an embodiment, the target nucleic acid and control nucleic acid are both from the fetus. In an embodiment, the average size of the fetal nucleic acid is about 100 bases to about 500 bases in length. In an embodiment the chromosomal abnormality is an aneuploidy, such as trisomy 21. In some embodiments, the target nucleic acid is at least a portion of a chromosome which may be abnormal and the control nucleic acid is at least a portion of a chromosome which is very rarely abnormal. For example, when the target nucleic acid is from chromosome 21, the control nucleic acid is from a chromosome other than chromosome 21 - preferably another autosome. In an embodiment, the binding agent is a methylation-specific binding protein such as MBD-Fc. Also, the enriched or eluted nucleic acid is amplified and/or quantified by any method known in the art. In an embodiment, the fetal DNA is quantified using a method that does not require the use of a polymorphic sequence. For example, an allelic ratio is not used to quantify the fetal DNA. In an embodiment, the method for quantifying the amount of fetal DNA does not require the treatment of DNA with bisulfite to convert cytosine residues to uracil.
In some embodiments, the methods of the invention include the additional step of determining the amount of one or more Y-chromosome-specific sequences in a sample. In a related embodiment, the amount of fetal nucleic acid in a sample as determined by using the methylation-based methods of the invention is compared to the amount of Y-chromosome nucleic acid present.
Methods for differentiating nucleic acid based on methylation status include, but are not limited to, methylation sensitive capture, for example using, MBD2-Fc fragment; bisulfite conversion methods, for example, MSP (methylation-sensitive PC ), COBRA, methylation-sensitive single nucleotide primer extension (Ms-SNuPE) or Sequenom MassCLEAVE™ technology; and the use of methylation sensitive restriction enzymes. Except where explicitly stated, any method for differentiating nucleic acid based on methylation status can be used with the compositions and methods of the invention.
In some embodiments, methods of the invention may further comprise an amplification step. The amplification step can be performed by PCR, such as methylation-specific PCR. In an embodiment, the amplification reaction is performed on single molecules, for example, by digital PCR, which is further described in US Patent Nos 6,143,496 and 6,440,706, both of which are hereby incorporated by reference. In other embodiments, the method does not require amplification. For example, the amount of enriched fetal DNA may be determined by counting the fetal DNA (or sequence tags attached thereto) with a flow cytometer or by sequencing means that do not require amplification. In an embodiment, the amount of fetal DNA is determined by an amplification reaction that generates amplicons larger than the digested maternal nucleic acid, thereby further enriching the fetal nucleic acid. In some embodiments, the fetal nucleic acid (alone or in combination with the maternal nucleic acid) comprises one or more detection moieties. In one embodiment, the detection moiety may be any one or more of a compomer, sugar, peptide, protein, antibody, chemical compound (e.g., biotin), mass tag (e.g., metal ions or chemical groups), fluorescent tag, charge tag (e.g., such as polyamines or charged dyes) and hydrophobic tag. In a related embodiment, the detection moiety is a mass-distinguishable product (MDP) or part of an MDP detected by mass spectrometry. In a specific embodiment, the detection moiety is a fluorescent tag or label that is detected by mass spectrometry. In some embodiments, the detection moiety is at the 5' end of a detector oligonucleotide, the detection moiety is attached to a non-complementary region of a detector oligonucleotide, or the detection moiety is at the 5' terminus of a non-complementary sequence. In certain embodiments, the detection moiety is incorporated into or linked to an internal nucleotide or to a nucleotide at the 3' end of a detector oligonucleotide. In some embodiments, one or more detection moieties are used either alone or in combination. See for example US Patent Applications US20080305479 and US20090111712. In certain embodiments, a detection moiety is cleaved by a restriction endonuclease, for example, as described in US Application No. 12/726,246. In some embodiments, a specific target chromosome is labeled with a specific detection moiety and one or more non-target chromosomes are labeled with a different detection moiety, whereby the amount target chromsome can be compared to the amount of non- target chromosome.
For embodiments that require sequence analysis, any one of the following sequencing technologies may be used: a primer extension method (e.g., iPLEX®; Sequenom, Inc.), direct DNA sequencing, restriction fragment length polymorphism (RFLP analysis), real-time PCR, for example using "STAR" (Scalable Transcription Analysis Routine) technology (see US Patent No. 7,081,339), or variations thereof, allele specific oligonucleotide (ASO) analysis, methylation-specific PCR (MSPCR), pyrosequencing analysis, acycloprime analysis, Reverse dot blot, GeneChip microarrays, Dynamic allele-specific hybridization (DASH), Peptide nucleic acid (PNA) and locked nucleic acids (LNA) probes, TaqMan, Molecular Beacons, Intercalating dye, FRET primers, fluorescence tagged d NTP/ddNTPs, AlphaScreen, SNPstream, genetic bit analysis (GBA), Multiplex minisequencing, SNaPshot, GOOD assay, Microarray miniseq, arrayed primer extension (APEX), Microarray primer extension, Tag arrays, Coded microspheres, Template-directed incorporation (TDI), fluorescence polarization, Colorimetric oligonucleotide ligation assay (OLA), Sequence-coded OLA, Microarray ligation, Ligase chain reaction, Padlock probes, Invader™ assay, hybridization using at least one probe, hybridization using at least one fluorescently labeled probe, electrophoresis, cloning and sequencing, for example as performed on the 454 platform (Roche) (Margulies, M. et al. 2005 Nature 437, 376-380), lllumina Genome Analyzer (or Solexa platform) or SOLiD System (Applied Biosystems) or the Helicos True Single Molecule DNA sequencing technology (Harris T D et al. 2008 Science, 320, 106-109), the single molecule, real-time (SMRT.TM.) technology of Pacific Biosciences, or nanopore-based sequencing (Soni GV and Meller A. 2007 Clin Chem 53: 1996- 2001), for example, using an Ion Torrent ion sensor that measures an electrical charge associated with each individual base of DNA as each base passes through a tiny pore at the bottom of a sample well, or Oxford Nanopore device that uses a nanopore to measure the electrical charge associated with each individual unit of DNA, and combinations thereof. Nanopore-based methods may include sequencing nucleic acid using a nanopore, or counting nucleic acid molecules using a nanopore, for example, based on size wherein sequence information is not determined.
The absolute copy number of one or more nucleic acids can be determined, for example, using mass spectrometry, a system that uses a competitive PCR approach for absolute copy number measurements. See for example, Ding C, Cantor CR (2003) A high-throughput gene expression analysis technique using competitive PCR and matrix-assisted laser desorption ionization time-of-flight MS. Proc Natl Acad Sci U S A 100:3059-3064, and US Patent Application No. 10/655762, which published as US Patent Publication No. 20040081993, both of which are hereby incorporated by reference.
In some embodiments, the amount of the genomic sequence is compared with a standard control, wherein an increase or decrease from the standard control indicates the presence or progression of a pregnancy-associated disorder. For example, the amount of fetal nucleic acid may be compared to the total amount of DNA present in the sample. Or when detecting the presence or absence of fetal aneuploidy, the amount of fetal nucleic acid from target chromosome may be compared to the amount of fetal nucleic acid from a reference chromosome. Preferably the reference chromosome is another autosome that has a low rate of aneuploidy. The ratio of target fetal nucleic acid to reference fetal nucleic acid may be compared to the same ratio from a normal, euploid pregnancy. For example, a control ratio may be determined from a DNA sample obtained from a female carrying a healthy fetus who does not have a chromosomal abnormality. Preferably, one uses a panel of control samples.
Where certain chromosome anomalies are known, one can also have standards that are indicative of a specific disease or condition. Thus, for example, to screen for three different chromosomal aneuploidies in a maternal plasma of a pregnant female, one preferably uses a panel of control DNAs that have been isolated from mothers who are known to carry a fetus with, for example, chromosome 13, 18, or 21 trisomy, and a mother who is pregnant with a fetus who does not have a chromosomal abnormality.
In some embodiments, the present invention provides a method in which the alleles from the target nucleic acid and control nucleic acid are differentiated by sequence variation. The sequence variation may be a single nucleotide polymorphism (SNP) or an insertion/deletion polymorphism. In an embodiment, the fetal nucleic acid should comprise at least one high frequency heterozygous polymorphism (e.g., about 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20%, 25% or more frequency rate), which allows the determination of the allelic-ratio of the nucleic acid in order to assess the presence or absence of the chromosomal abnormality. A list of exemplary SNPs is provided in Table 2, however, this does not represent a complete list of polymorphic alleles that can be used as part of the invention. Any SNP meeting the following criteria may also be considered: (a) the SNP has a heterozygosity frequency greater than about 2% (preferably across a range of different populations), (b) the SNP is a heterozygous locus; and (c)(i) the SNP is within nucleic acid sequence described herein, or (c)(iii) the SNP is within about 5 to about 2000 base pairs of a SNP described herein (e.g., within about 5, 10, 15, 20, 25, 30, 40, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1250, 1500, 1750 or 2000 base pairs of a SNP described herein). In other embodiments, the sequence variation is a short tandem repeat (ST ) polymorphism. In some embodiments, the sequence variation falls in a restriction site, whereby one allele is susceptible to digestion by a restriction enzyme and the one or more other alleles are not. In some embodiments, the sequence variation is a methylation site.
In some embodiments, performing an allelic ratio analysis comprises determining the ratio of alleles of the target nucleic acid and control nucleic acid from the fetus of a pregnant woman by obtaining an nucleic acid-containing biological sample from the pregnant woman, wherein the biological sample contains fetal nucleic acid, partially or wholly separating the fetal nucleic acid from the maternal nucleic acid based on differential methylation, discriminating the alleles from the target nucleic acid and the control nucleic acid, followed by determination of the ratio of the alleles, and detecting the presence or absence of a chromosomal disorder in the fetus based on the ratio of alleles, wherein a ratio above or below a normal, euploid ratio is indicative of a chromosomal disorder. In one embodiment, the target nucleic acid is from a suspected aneuploid chromosome (e.g., chromosome 21) and the control nucleic acid is from a euploid chromosome from the same fetus.
In some embodiments, the present invention is combined with other fetal markers to detect the presence or a bsence of multiple chromosomal abnormalities, wherein the chromosomal abnormalities are selected from the following: trisomy 21, trisomy 18 and trisomy 13, or combinations thereof. In some embodiments, the chromosomal disorder involves the X chromosome or the Y chromosome.
In some embodiments, the compositions or processes may be multiplexed in a single reaction. For example, the amount of fetal nucleic acid may be determined at multiple loci across the genome. Or when detecting the presence or absence of fetal aneuploidy, the amount of fetal nucleic acid may be determined at multiple loci on one or more target chromosomes (e.g., chromosomes 13, 18 or 21) and on one or more reference chromosomes. If an allelic ratio is being used, one or more alleles from Table 2 can be detected and discriminated simultaneously. When determining allelic ratios, multiplexing embodiments are particularly important when the genotype at a polymorphic locus is not known. In some instances, for example when the mother and child are homozygous at the polymorphic locus, the assay may not be informative. In one embodiment, greater than 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 50, 100, 200, 300 or 500, and any intermediate levels,
polynucleotide sequences of the invention are enriched, separated and/or examined according the methods of the invention. When detecting a chromosomal abnormality by analyzing the copy number of target nucleic acid and control nucleic acid, less than 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, or 14 polynucleotide sequences may need to be analyzed to accurately detect the presence or absence of a chromosomal abnormality. In an embodiment, the compositions or processes of the invention may be used to assay samples that have been divided into 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 50, 100 or more replicates, or into single molecule equivalents. Methods for analyzing fetal nucleic acids from a maternal sample in replicates, including single molecule analyses, are provided in US Application No, 11/364,294, which pu blished as US Patent Publication No. US 2007- 0207466 Al, which is hereby incorporated by reference. In a further embodiment, the present invention provides a method wherein a comparison step shows an increased risk of a fetus having a chromosomal disorder if the ratio of the alleles or absolute copy number of the target nucleic acid is higher or lower by 1 standard deviation from the standard control sequence. In some embodiments, the comparison step shows an increased risk of a fetus having a chromosomal disorder if the ratio of the alleles or absolute copy number of the target nucleic acid is higher or lower by 2 standard deviation from the standard control sequence. In some other embodiments, the comparison step shows an increased risk of a fetus having a chromosomal disorder if the ratio of the alleles or absolute copy number of the target nucleic acid is higher or lower by 3 standard deviation from the standard control sequence. In some embodiments, the comparison step shows an increased risk of a fetus having a chromosomal disorder if the ratio of the alleles or absolute copy number of the target nucleic acid is higher or lower than a statistically significant standard deviation from the control. In one embodiment, the standard control is a maternal reference, and in an embodiment the standard control is a fetal reference chromosome (e.g., non-trisomic autosome).
In some embodiments, the methods of the invention may be combined with other methods for diagnosing a chromosomal abnormality. For example, a noninvasive diagnostic method may require confirmation of the presence or absence of fetal nucleic acid, such as a sex test for a female fetus or to confirm an hD negative female fetus in an RhD negative mother. In an embodiment, the compositions and methods of the invention may be used to determine the percentage of fetal nucleic acid in a maternal sample in order to enable another diagnostic method that requires the percentage of fetal nucleic acid be known. For example, does a sample meet certain threshold concentration
requirements? When determining an allelic ratio to diagnose a fetal aneuploidy from a maternal sample, the amount or concentration of fetal nucleic acid may be required to make a diagnose with a given sensitivity and specificity. In other embodiments, the compositions and methods of the invention for detecting a chromosomal abnormality can be combined with other known methods thereby improving the overall sensitivity and specificity of the detection method. For example, mathematical models have suggested that a combined first-trimester screening program utilizing maternal age (MA), nuchal translucency (NT) thickness, serum-free beta-hCG, and serum PAPP-A will detect more than 80% of fetuses with Down's syndrome for a 5% invasive testing rate (Wald and Hackshaw, Prenat Diagn 17(9):921-9 (1997)). However, the combination of commonly used aneuploidy detection methods combined with the non-invasive free fetal nucleic acid-based methods described herein may offer improved accuracy with a lower false positive rate. Examples of combined diagnostic methods are provided in PCT Publication Number WO2008157264A2 (assigned to the Applicant), which is hereby incorporated by reference. In some embodiments, the methods of the invention may be combined with cell-based methods, wherein fetal cells are procured invasively or non-invasively.
In certain embodiments, an increased risk for a chromosomal abnormality is based on the outcome or result(s) produced from the compositions or methods provided herein. An example of an outcome is a deviation from the euploid absolute copy number or allelic ratio, which indicates the presence of chromosomal aneuploidy. This increase or decrease in the absolute copy number or ratio from the standard control indicates an increased risk of having a fetus with a chromosomal abnormality (e.g., trisomy 21). Information pertaining to a method described herein, such as an outcome, result, or risk of trisomy or aneuploidy, for example, may be transfixed, renditioned, recorded and/or displayed in any suita ble medium. For example, an outcome may be transfixed in a medium to save, store, share, commu nicate or otherwise analyze the outcome. A medium can be ta ngible (e.g., paper) or intangible (e.g., electronic medium), and examples of media include, but are not limited to, computer media, data bases, charts, patient charts, records, patient records, graphs and tables, a nd any other medium of expression. The information sometimes is stored and/or renditioned in computer reada ble form and sometimes is stored and organized in a data base. In certain em bodiments, the information may be transferred from one location to another using a physical medium (e.g., paper) or a computer reada ble medium (e.g., optical and/or magnetic storage or transmission medium, floppy disk, hard disk, random access memory, computer processing unit, facsimile signal, satellite signal, transmission over an internet or transmission over the world-wide web).
In practicing the present invention within all aspects mentioned a bove, a CpG island may be used as the CpG-containing genomic sequence in some cases, whereas in other cases the CpG-containing genomic sequence may not be a CpG island.
In some em bod iments, the present invention provides a kit for performing the methods of the invention. One component of the kit is a methylation-sensitive binding agent.
BRIEF DESCRIPTION OF THE DRAWINGS
FIGURE 1: Shows the design of the recombinant M BD-Fc protein used to separate differentially methylated DNA.
FIGURE 2: Shows the methyl-CpG-binding, antibody-like protein has a high affinity and high avidity to its "antigen", which is prefera bly DNA that is methylated at CpG di-nucleotides.
FIGURE 3: Shows the methyl binding domain of M BD-FC binds all DNA molecules regardless of their methylation status. The strength of this protein/DNA interaction is defined by the level of DNA methylation. After binding genomic DNA, eluate solutions of increasing salt concentrations can be used to fractionate non-methylated a nd methylated DNA allowing for a controlled separation.
FIGURE 4: Shows the experiment used to identify differentially methylated DNA from a fetus and mother using the recom binant M BD-Fc protein and a microarray.
FIGURE 5 : Shows typical results generated by Sequenom® EpiTYPER™ method, which was used to validate the results generated from the experiment illustrated in Figure 4.
FIGURE 6: Shows the correlation between the log ratios derived from microarray analysis (x axis) and methylation differences obtained by EpiTYPER analysis (y axis). Each data point represents the average for one region across all measured samples. The microarray analysis is comparative in nature because the highly methylated fraction of the maternal DNA is hybridized together with the highly methylated fraction of placenta DNA. Positive values indicate higher methylation of the placenta samples. In mass spectrometry each samples is measured individually. We first calculated difference in methylation by subtracting the maternal methylation values from the placenta methylation value. To compare the results with the microarray data we calculated the average of the differences for all maternal / placenta DNA pairs.
FIGURE 8: Shown is the correlation between the number of gDNA molecules that were expected and the number of molecules measured by competitive PCR in combination with mass spectrometry analysis. In this experiment we used DNA derived from whole blood (black plus signs) and commercially available fully methylated DNA(red crosses) in a 90 to 10 ratio. We used the MBD-FC fusion protein to separate the non-methylated and the methylated fraction of DNA. Each fraction was subject to competitive PCR analysis with mass spectrometry readout. The method has been described earlier for the analysis of copy number variations and is commercially available for gene expression analysis. The approach allows absolute quantification of DNA molecules with the help of a synthetic oligonucleotides of know concentration. In this experiment we targeted the MGMT locus, which was not methylated in the whole blood sample used here. Using an input of 300 total gDNA copies we expect to see 270 copies of non- methylated DNA and 30 copies of methylated DNA. The measured copy numbers are largely in agreement with the expected values. The data point at 600 copies of input DNA indicates a bias in the reaction and shows that this initial proof of concept experiment needs to be followed up with more development work, before the assay can be used. However, this initial data indicates the feasibility of the approach for capturing and quantifying of a few copies of methylated DNA in the presence of an excess of unmethylated DNA species.
FIGURE 9A-9C: Shown are bar graph plots of the methylation differences obtained from the microarray analysis (dark bars) and the mass spectrometry analysis (light grey bars) with respect to their genomic location. For each of the 85 region that were identified to be differentially methylated by microarray an individual plot is provided. The x axis for each plot shows the chromosomal position of the region. The y axis depicts the log ration (in case of the microarrays) and the methylation differences (in case of the mass spectrometry results). For the microarrays each hybridization probe in the area is shown as a single black (or dark grey) bar. For the mass spectrometry results each CpG site, is shown as a light grey bar. Bars showing values greater than zero indicate higher DNA methylation in the placenta samples compared to the maternal DNA. For some genes the differences are small (i.e. RBI or DSCR6) but still statistically significant. Those regions would be less suitable for a fetal DNA enrichment strategy.
FIGURE 10: Shows one embodiment of the Fetal Quantifier Method. Maternal nucleic acid is selectively digested and the remaining fetal nucleic acid is quantified using a competitor of known concentration. In this schema, the analyte is separated and quantified by a mass spectromter.
FIGURE 11: Shows one embodiment of the Methylation-Based Fetal Diagnostic Method. Maternal nucleic acid is selectively digested and the remaining fetal nucleic acid is quantified for three different chromosomes (13, 18 and 21). Parts 2 and 3 of the Figure illustrate the size distribution of the nucleic acid in the sample before and after digestion. The amplification reactions can be size-specific (e.g., greater than 100 base pair amplicons) such that they favor the longer, non-digested fetal nucleic acid over the digested maternal nucleic acid, thereby further enriching the fetal nucleic acid. The spectra at the bottom of the Figure show an increased amount of chromosome 21 fetal nucleic acid indicative of trisomy 21.
FIGURE 12: Shows the total number of amplifiable genomic copies from four different DNA samples isolated from the blood of non-pregnant women. Each sample was diluted to contain approximately 2500, 1250, 625 or 313 copies per reaction. Each measurement was obtained by taking the mean DNA/competitor ratio obtained from two total copy number assays (ALB and RNAseP in Table X). As Figure 12 shows, the total copy number is accurate and stable across the different samples, thus validating the usefulness of the competitor-based approach.
FIGURES 13A and B: A model system was created that contained a constant number of maternal non- methylated DNA with varying amounts of male placental methylated DNA spiked-in. The samples were spiked with male placental amounts ranging from approximately 0 to 25% relative to the maternal non- methylated DNA. The fraction of placental DNA was calculated using the ratios obtained from the methylation assays (Figure 13A) and the Y-chromosome marker (Figure 13B) as compared to the total copy number assay. The methylation and Y-chromosome markers are provided in Table X.
FIGURES 14 A and B: Show the results of the total copy number assay from plasma samples. In Figure 14A, the copy number for each sample is shown. Two samples (no 25 and 26) have a significantly higher total copy number than all the other samples. A mean of approximately 1300 amplifiable copies/ml plasma was obtained (range 766-2055). Figure 14B shows a box-and-whisker plot of the given values, summarizing the results.
FIGURES 15A and B: The amount (or copy numbers) of fetal nucleic acid from 33 different plasma samples taken from pregnant women with male fetuses are plotted. The copy numbers obtained were calculated using the methylation markers and the Y-chromosome-specific markers using the assays provided in Table X. As can be seen in Figure 15B, the box-and-whisker plot of the given values indicated minimal difference between the two different measurements, thus validating the accuracy and stability of the method.
FIGURE 16: Shows a paired correlation between the results obtained using the methylation markers versus the Y-chromosome marker from Figure 15A.
FIGURE 17: Shows the digestion efficiency of the restriction enzymes using the ratio of digestion for the control versus the competitor and comparing this value to the mean total copy number assays. Apart from sample 26 all reactions indicate the efficiency to be above about 99%.
FIGURE 18: Provides a specific method for calculating fetal DNA fraction (or concentration) in a sample using the Y-chromosome-specific markers for male pregnancies and the mean of the methylated fraction for all pregnancies (regardless of fetal sex).
FIGURE 19: Provides a specific method for calculating fetal DNA fraction (or concentration) in a sample without the Y-chromosome-specific markers. Instead, only the Assays for Methylation Quantification were used to determine the concentration of fetal DNA. FIGURE 20: Shows a power calculation t-test for a simulated trisomy 21 diagnosis using the methods of the invention. The Figure shows the relationship between the coefficient of variation (CV) on the x-axis and the power to discriminate the assay populations using a simple t-test (y-axis). The data indicates that in 99% of all cases, one can discriminate the two population (euploid vs. aneuploid) on a significance level of 0.001 provided a CV of 5% or less.
DEFINITIONS
The term "pregnancy-associated disorder," as used in this application, refers to any condition or disease that may affect a pregnant woman, the fetus, or both the woman and the fetus. Such a condition or disease may manifest its symptoms during a limited time period, e.g., during pregnancy or delivery, or may last the entire life span of the fetus following its birth. Some examples of a pregnancy-associated disorder include ectopic pregnancy, preeclampsia, preterm labor, RhD incompatibility, fetal
chromosomal abnormalities such as trisomy 21, and genetically inherited fetal disorders such as cystic fibrosis, beta-thalassemia or other monogenic disorders. The compositions and processes described herein are particularly useful for diagnosis, prognosis and monitoring of pregnancy-associated disorders associated with quantitative a bnormalities of fetal DNA in maternal plasma/serum, including but not limited to, preeclampsia (Lo et al., Clin. Chem. 45:184-188, 1999 and Zhong et al., Am. J. Obstet.
Gynecol. 184:414-419, 2001), fetal trisomy (Lo et al., Clin. Chem. 45:1747-1751, 1999 and Zhong et al., Prenat. Diagn. 20:795-798, 2000) and hyperemesis gravidarum (Sekizawa et al., Clin. Chem. 47:2164- 2165, 2001). For example, an elevated level of fetal nucleic acid in maternal blood (as compared to a normal pregnancy or pregnancies) may be indicative of a preeclamptic preganancy. Further, the ability to enrich fetal nucleic from a maternal sample may prove particularly useful for the noninvasive prenatal diagnosis of autosomal recessive diseases such as the case when a mother and father share an identical disease causing mutation, an occurrence previously perceived as a challenge for maternal plasma-based non-trisomy prenatal diagnosis.
The term "chromosomal abnormality" or "aneuploidy" as used herein refers to a deviation between the structure of the subject chromosome and a normal homologous chromosome. The term "normal" refers to the predominate karyotype or banding pattern found in healthy individuals of a particular species, for example, a euploid genome (in humans, 46XX or 46XY). A chromosomal abnormality can be numerical or structural, and includes but is not limited to aneuploidy, polyploidy, inversion, a trisomy, a monosomy, duplication, deletion, deletion of a part of a chromosome, addition, addition of a part of chromosome, insertion, a fragment of a chromosome, a region of a chromosome, chromosomal rearrangement, and translocation. Chromosomal abnormality may also refer to a state of chromosomal abnormality where a portion of one or more chromosomes is not an exact multiple of the usual haploid number due to, for example, chromosome translocation. Chromosomal translocation (e.g. translocation between chromosome 21 and 14 where some of the 14th chromosome is replaced by extra 21st chromosome) may cause partial trisomy 21. A chromosomal abnormality can be correlated with presence of a pathological condition or with a predisposition to develop a pathological condition. A chromosomal abnormality may be detected by quantitative analysis of nucleic acid. The terms "nucleic acid" and "nucleic acid molecule" may be used interchangea bly throughout the disclosure. The terms refer to nucleic acids of any composition from, such as DNA (e.g., complementary DNA (cDNA), genomic DNA (gDNA) and the like), RNA (e.g., message RNA (mRNA), short inhibitory RNA (siRNA), ribosomal RNA (rRNA), tRNA, microRNA, RNA highly expressed by the fetus or placenta, and the like), and/or DNA or RNA analogs (e.g., containing base analogs, sugar analogs and/or a non-native backbone and the like), RNA/DNA hybrids and polyamide nucleic acids (PNAs), all of which can be in single- or dou ble-stranded form, and unless otherwise limited, can encompass known analogs of natural nucleotides that can function in a similar manner as naturally occurring nucleotides. For example, the nucleic acids provided in SEQ ID NOs: 1-261 (see Tables 4A-4C) can be in any form useful for conducting processes herein (e.g., linear, circular, supercoiled, single-stranded, double-stranded and the like) or may include variations (e.g., insertions, deletions or substitutions) that do not alter their utility as part of the present invention. A nucleic acid may be, or may be from, a plasmid, phage, autonomously replicating sequence (ARS), centromere, artificial chromosome, chromosome, or other nucleic acid able to replicate or be replicated in vitro or in a host cell, a cell, a cell nucleus or cytoplasm of a cell in certain embodiments. A template nucleic acid in some embodiments can be from a single chromosome (e.g., a nucleic acid sample may be from one chromosome of a sample obtained from a diploid organism). Unless specifically limited, the term encompasses nucleic acids containing known analogs of natural nucleotides that have similar binding properties as the reference nucleic acid and are metabolized in a manner similar to naturally occurring nucleotides. Unless otherwise indicated, a particular nucleic acid sequence also implicitly encompasses conservatively modified variants thereof (e.g., degenerate codon substitutions), alleles, orthologs, single nucleotide polymorphisms (SNPs), and complementary sequences as well as the sequence explicitly indicated. Specifically, degenerate codon substitutions may be achieved by generating sequences in which the third position of one or more selected (or all) codons is substituted with mixed-base and/or deoxyinosine residues (Batzer et al., Nucleic Acid Res. 19:5081 (1991); Ohtsuka et al., J. Biol. Chem. 260:2605-2608 (1985); and Rossolini et al., Mol. Cell. Probes 8:91- 98 (1994)). The term nucleic acid is used interchangeably with locus, gene, cDNA, and mRNA encoded by a gene. The term also may include, as equivalents, derivatives, variants and analogs of RNA or DNA synthesized from nucleotide analogs, single-stranded ("sense" or "antisense", "plus" strand or "minus" strand, "forward" reading frame or "reverse" reading frame) and double-stranded polynucleotides. Deoxyribonucleotides include deoxyadenosine, deoxycytidine, deoxyguanosine and deoxythymidine. For RNA, the base cytosine is replaced with uracil. A template nucleic acid may be prepared using a nucleic acid obtained from a subject as a template.
A "nucleic acid comprising one or more CpG sites" or a "CpG-containing genomic sequence" as used herein refers to a segment of DNA sequence at a defined location in the genome of an individual such as a human fetus or a pregnant woman. Typically, a "CpG-containing genomic sequence" is at least 15 nucleotides in length and contains at least one cytosine. Preferably, it can be at least 30, 50, 80, 100, 150, 200, 250, or 300 nucleotides in length and contains at least 2, 5, 10, 15, 20, 25, or 30 cytosines. For anyone "CpG-containing genomic sequence" at a given location, e.g., within a region centering around a given genetic locus (see Tables 1A-1C), nucleotide sequence variations may exist from individual to individual and from allele to allele even for the same individual. Typically, such a region centering around a defined genetic locus (e.g., a CpG island) contains the locus as well as upstream and/or downstream sequences. Each of the upstream or downstream sequence (counting from the 5' or 3' boundary of the genetic locus, respectively) can be as long as 10 kb, in other cases may be as long as 5 kb, 2 kb, 1 kb, 500 bp, 200 bp, or 100 bp. Furthermore, a "CpG-containing genomic sequence" may encompass a nucleotide sequence transcribed or not transcribed for protein production, and the nucleotide sequence can be an inter-gene sequence, intra-gene sequence, protein-coding sequence, a non protein-coding sequence (such as a transcription promoter), or a combination thereof.
As used herein, a "methylated nucleotide" or a "methylated nucleotide base" refers to the presence of a methyl moiety on a nucleotide base, where the methyl moiety is not present in a recognized typical nucleotide base. For example, cytosine does not contain a methyl moiety on its pyrimidine ring, but 5- methylcytosine contains a methyl moiety at position 5 of its pyrimidine ring. Therefore, cytosine is not a methylated nucleotide and 5-methylcytosine is a methylated nucleotide. In another example, thymine contains a methyl moiety at position 5 of its pyrimidine ring, however, for purposes herein, thymine is not considered a methylated nucleotide when present in DNA since thymine is a typical nucleotide base of DNA. Typical nucleoside bases for DNA are thymine, adenine, cytosine and guanine. Typical bases for NA are uracil, adenine, cytosine and guanine. Correspondingly a "methylation site" is the location in the target gene nucleic acid region where methylation has, or has the possibility of occurring. For example a location containing CpG is a methylation site wherein the cytosine may or may not be methylated.
As used herein, a "CpG site" or "methylation site" is a nucleotide within a nucleic acid that is susceptible to methylation either by natural occurring events in vivo or by an event instituted to chemically methylate the nucleotide in vitro.
As used herein, a "methylated nucleic acid molecule" refers to a nucleic acid molecule that contains one or more methylated nucleotides that is/are methylated.
A "CpG island" as used herein describes a segment of DNA sequence that comprises a functionally or structurally deviated CpG density. For example, Yamada et al. (Genome Research 14:247-266, 2004) have described a set of standards for determining a CpG island: it must be at least 400 nucleotides in length, has a greater than 50% GC content, and an OCF/ECF ratio greater than 0.6. Others (Takai et al., Proc. Natl. Acad. Sci. U.S.A. 99:3740-3745, 2002) have defined a CpG island less stringently as a sequence at least 200 nucleotides in length, having a greater than 50% GC content, and an OCF/ECF ratio greater than 0.6.
The term "epigenetic state" or "epigenetic status" as used herein refers to any structural feature at a molecular level of a nucleic acid (e.g., DNA or RNA) other than the primary nucleotide sequence. For instance, the epigenetic state of a genomic DNA may include its secondary or tertiary structure determined or influenced by, e.g., its methylation pattern or its association with cellular proteins.
The term "methylation profile" "methylation state" or "methylation status," as used herein to describe the state of methylation of a genomic sequence, refers to the characteristics of a DNA segment at a particular genomic locus relevant to methylation. Such characteristics include, but are not limited to, whether any of the cytosine (C) residues within this DNA sequence are methylated, location of methylated C residue(s), percentage of methylated C at any particular stretch of residues, and allelic differences in methylation due to, e.g., difference in the origin of the alleles. The term "methylation" profile" or "methylation status" also refers to the relative or absolute concentration of methylated C or unmethylated C at any particular stretch of residues in a biological sample. For example, if the cytosine (C) residue(s) within a DNA sequence are methylated it may be referred to as "hypermethylated";
whereas if the cytosine (C) residue(s) within a DNA sequence are not methylated it may be referred to as "hypomethylated". Likewise, if the cytosine (C) residue(s) within a DNA sequence (e.g., fetal nucleic acid) are methylated as compared to another sequence from a different region or from a different individual (e.g., relative to maternal nucleic acid), that sequence is considered hypermethylated compared to the other sequence. Alternatively, if the cytosine (C) residue(s) within a DNA sequence are not methylated as compared to another sequence from a different region or from a different individual (e.g., the mother), that sequence is considered hypomethylated compared to the other sequence. These sequences are said to be "differentially methylated", and more specifically, when the methylation status differs between mother and fetus, the sequences are considered "differentially methylated maternal and fetal nucleic acid".
The term "agent that binds to methylated nucleotides" as used herein refers to a substance that is capable of binding to methylated nucleic acid. The agent may be naturally-occurring or synthetic, and may be modified or unmodified. In one embodiment, the agent allows for the separation of different nucleic acid species according to their respective methylation states. An example of an agent that binds to methylated nucleotides is described in PCT Patent Application No. PCT/EP2005/012707, which published as WO06056480A2 and is hereby incorporated by reference. The described agent is a bifunctional polypeptide comprising the DNA-binding domain of a protein belonging to the family of Methyl-CpG binding proteins (MBDs) and an Fc portion of an antibody (see Figure 1). The recombinant methyl-CpG-binding, antibody-like protein can preferably bind CpG methylated DNA in an antibody-like manner. That means, the methyl-CpG-binding, antibody-like protein has a high affinity and high avidity to its "antigen", which is preferably DNA that is methylated at CpG dinucleotides. The agent may also be a multivalent MBD (see Figure 2).
The term "polymorphism" as used herein refers to a sequence variation within different alleles of the same genomic sequence. A sequence that contains a polymorphism is considered "polymorphic sequence". Detection of one or more polymorphisms allows differentiation of different alleles of a single genomic sequence or between two or more individuals. As used herein, the term "polymorphic marker" or "polymorphic sequence" refers to segments of genomic DNA that exhibit heritable variation in a DNA sequence between individuals. Such markers include, but are not limited to, single nucleotide polymorphisms (SNPs), restriction fragment length polymorphisms (RFLPs), short tandem repeats, such as di-, tri- or tetra-nucleotide repeats (STRs), and the like. Polymorphic markers according to the present invention can be used to specifically differentiate between a maternal and paternal allele in the enriched fetal nucleic acid sample.
The terms "single nucleotide polymorphism" or "SNP" as used herein refer to the polynucleotide sequence variation present at a single nucleotide residue within different alleles of the same genomic sequence. This variation may occur within the coding region or non-coding region (i.e., in the promoter or intronic region) of a genomic sequence, if the genomic sequence is transcribed during protein production. Detection of one or more SNP allows differentiation of different alleles of a single genomic sequence or between two or more individuals.
The term "allele" as used herein is one of several alternate forms of a gene or non-coding regions of DNA that occupy the same position on a chromosome. The term allele can be used to describe DNA from any organism including but not limited to bacteria, viruses, fungi, protozoa, molds, yeasts, plants, humans, non-humans, animals, and archeabacteria.
The terms "ratio of the alleles" or "allelic ratio" as used herein refer to the ratio of the population of one allele and the population of the other allele in a sample. In some trisomic cases, it is possible that a fetus may be tri-allelic for a particular locus. In such cases, the term "ratio of the alleles" refers to the ratio of the population of any one allele against one of the other alleles, or any one allele against the other two alleles.
The term "non-polymorphism-based quantitative method" as used herein refers to a method for determining the amount of an analyte (e.g., total nucleic acid, Y-chromosome nucleic acid, or fetal nucleic acid) that does not require the use of a polymorphic marker or sequence. Although a polymorphism may be present in the sequence, said polymorphism is not required to quantify the sequence. Examples of non-polymorphism-based quantitative methods include, but are not limited to, T-PC , digital PCR, array-based methods, sequencing methods, nanopore-based methods, nucleic acid- bound bead-based counting methods and competitor-based methods wherein one or more competitors are introduced at a known concentration(s) to determine the amount of one or more analytes. In some embodiments, some of the above exemplary methods (for example, sequencing) may need to be actively modified or designed such that one or more polymorphisms are not interrogated.
The terms "a bsolute amount" or "copy number" as used herein refers to the amount or quantity of an analyte (e.g., total nucleic acid or fetal nucleic acid). The present invention provides compositions and processes for determining the absolute amount of fetal nucleic acid in a mixed maternal sample.
Absolute amount or copy number represents the number of molecules available for detection, and may be expressed as the genomic equivalents per unit. The term "concentration" refers to the amount or proportion of a substance in a mixture or solution (e.g., the amount of fetal nucleic acid in a maternal sample that comprises a mixture of maternal and fetal nucleic acid). The concentration may be expressed as a percentage, which is used to express how large/small one quantity is, relative to another quantity as a fraction of 100. Platforms for determining the quantity or amount of an analyte (e.g., target nucleic acid) include, but are not limited to, mass spectrometery, digital PCR, sequencing by synthesis platforms (e.g., pyrosequencing), fluorescence spectroscopy and flow cytometry.
The term "sample" as used herein refers to a specimen containing nucleic acid. Examples of samples include, but are not limited to, tissue, bodily fluid (for example, blood, serum, plasma, saliva, urine, tears, peritoneal fluid, ascitic fluid, vaginal secretion, breast fluid, breast milk, lymph fluid, cerebrospinal fluid or mucosa secretion), umbilical cord blood, chorionic villi, amniotic fluid, an embryo, a two-celled embryo, a four-celled embryo, an eight-celled embryo, a 16-celled embryo, a 32-celled embryo, a 64- celled embryo, a 128-celled embryo, a 256-celled embryo, a 512-celled embryo, a 1024-celled embryo, embryonic tissues, lymph fluid, cerebrospinal fluid, mucosa secretion, or other body exudate, fecal matter, an individual cell or extract of the such sources that contain the nucleic acid of the same, and subcellular structures such as mitochondria, using protocols well established within the art.
Fetal DNA can be obtained from sources including but not limited to maternal blood, maternal serum, maternal plasma, fetal cells, umbilical cord blood, chorionic villi, amniotic fluid, urine, saliva, lung lavage, cells or tissues.
The term "blood" as used herein refers to a blood sample or preparation from a pregnant woman or a woman being tested for possible pregnancy. The term encompasses whole blood or any fractions of blood, such as serum and plasma as conventionally defined.
The term "bisulfite" as used herein encompasses all types of bisulfites, such as sodium bisulfite, that are capable of chemically converting a cytosine (C) to a uracil (U) without chemically modifying a methylated cytosine and therefore can be used to differentially modify a DNA sequence based on the methylation status of the DNA.
As used herein, a reagent that "differentially modifies" methylated or non-methylated DNA
encompasses any reagent that modifies methylated and/or unmethylated DNA in a process through which distinguishable products result from methylated and non-methylated DNA, thereby allowing the identification of the DNA methylation status. Such processes may include, but are not limited to, chemical reactions (such as a C.fwdarw.U conversion by bisulfite) and enzymatic treatment (such as cleavage by a methylation-dependent endonuclease). Thus, an enzyme that preferentially cleaves or digests methylated DNA is one capable of cleaving or digesting a DNA molecule at a much higher efficiency when the DNA is methylated, whereas an enzyme that preferentially cleaves or digests unmethylated DNA exhibits a significantly higher efficiency when the DNA is not methylated.
The terms "non-bisulfite-based method" and "non-bisulfite-based quantitative method" as used herein refer to any method for quantifying methylated or non-methylated nucleic acid that does not require the use of bisulfite. The terms also refer to methods for preparing a nucleic acid to be quantified that do not require bisulfite treatment. Examples of non-bisulfite-based methods include, but are not limited to, methods for digesting nucleic acid using one or more methylation sensitive enzymes and methods for separating nucleic acid using agents that bind nucleic acid based on methylation status.
The terms "methyl-sensitive enzymes" and "methylation sensitive restriction enzymes" are DNA restriction endonucleases that are dependent on the methylation state of their DNA recognition site for activity. For example, there are methyl-sensitive enzymes that cleave or digest at their DNA recognition sequence only if it is not methylated. Thus, an unmethylated DNA sample will be cut into smaller fragments than a methylated DNA sample. Similarly, a hypermethylated DNA sample will not be cleaved. In contrast, there are methyl-sensitive enzymes that cleave at their DNA recognition sequence only if it is methylated. As used herein, the terms "cleave", "cut" and "digest" are used interchangeably. The term "target nucleic acid" as used herein refers to a nucleic acid examined using the methods disclosed herein to determine if the nucleic acid is part of a pregnancy-related disorder or chromosomal abnormality. For example, a target nucleic acid from chromosome 21 could be examined using the methods of the invention to detect Down's Syndrome.
The term "control nucleic acid" as used herein refers to a nucleic acid used as a reference nucleic acid according to the methods disclosed herein to determine if the nucleic acid is part of a chromosomal abnormality. For example, a control nucleic acid from a chromosome other than chromosome 21 (herein referred to as a "reference chromosome") could be as a reference sequence to detect Down's Syndrome. In some embodiments, the control sequence has a known or predetermined quantity.
The term "sequence-specific" or "locus-specific method" as used herein refers to a method that interrogates (for example, quantifies) nucleic acid at a specific location (or locus) in the genome based on the sequence composition. Sequence-specific or locus-specific methods allow for the quantification of specific regions or chromosomes.
The term "gene" means the segment of DNA involved in producing a polypeptide chain; it includes regions preceding and following the coding region (leader and trailer) involved in the
transcription/translation of the gene product and the regulation of the transcription/translation, as well as intervening sequences (introns) between individual coding segments (exons).
In this application, the terms "polypeptide," "peptide," and "protein" are used interchangeably herein to refer to a polymer of amino acid residues. The terms apply to amino acid polymers in which one or more amino acid residue is an artificial chemical mimetic of a corresponding naturally occurring amino acid, as well as to naturally occurring amino acid polymers and non-naturally occurring amino acid polymers. As used herein, the terms encompass amino acid chains of any length, including full-length proteins (i.e., antigens), wherein the amino acid residues are linked by covalent peptide bonds.
The term "amino acid" refers to naturally occurring and synthetic amino acids, as well as amino acid analogs and amino acid mimetics that function in a manner similar to the naturally occurring amino acids. Naturally occurring amino acids are those encoded by the genetic code, as well as those amino acids that are later modified, e.g., hydroxyproline, . gamma. -carboxyglutamate, and O-phosphoserine.
Amino acids may be referred to herein by either the commonly known three letter symbols or by the one-letter symbols recommended by the lUPAC-IUB Biochemical Nomenclature Commission.
Nucleotides, likewise, may be referred to by their commonly accepted single-letter codes.
"Primers" as used herein refer to oligonucleotides that can be used in an amplification method, such as a polymerase chain reaction (PC ), to amplify a nucleotide sequence based on the polynucleotide sequence corresponding to a particular genomic sequence, e.g., one located within the CpG island CGI137, PDE9A, or CGI009 on chromosome 21, in various methylation status. At least one of the PCR primers for amplification of a polynucleotide sequence is sequence-specific for the sequence.
The term "template" refers to any nucleic acid molecule that can be used for amplification in the invention. NA or DNA that is not naturally double stranded can be made into double stranded DNA so as to be used as template DNA. Any double stranded DNA or preparation containing multiple, different double stranded DNA molecules can be used as template DNA to amplify a locus or loci of interest contained in the template DNA.
The term "amplification reaction" as used herein refers to a process for copying nucleic acid one or more times. In embodiments, the method of amplification includes but is not limited to polymerase chain reaction, self-sustained sequence reaction, ligase chain reaction, rapid amplification of cDNA ends, polymerase chain reaction and ligase chain reaction, Q-beta phage amplification, strand displacement amplification, or splice overlap extension polymerase chain reaction. In some embodiments, a single molecule of nucleic acid is amplified, for example, by digital PCR.
The term "sensitivity" as used herein refers to the number of true positives divided by the number of true positives plus the number of false negatives, where sensitivity (sens) may be within the range of 0 < sens < 1. Ideally, method embodiments herein have the number of false negatives equaling zero or close to equaling zero, so that no subject is wrongly identified as not having at least one chromosome abnormality or other genetic disorder when they indeed have at least one chromosome abnormality or other genetic disorder. Conversely, an assessment often is made of the ability of a prediction algorithm to classify negatives correctly, a complementary measurement to sensitivity. The term "specificity" as used herein refers to the number of true negatives divided by the number of true negatives plus the number of false positives, where sensitivity (spec) may be within the range of 0 < spec < 1. Ideally, methods embodiments herein have the number of false positives equaling zero or close to equaling zero, so that no subject wrongly identified as having at least one chromosome abnormality other genetic disorder when they do not have the chromosome abnormality other genetic disorder being assessed. Hence, a method that has sensitivity and specificity equaling one, or 100%, sometimes is selected.
One or more prediction algorithms may be used to determine significance or give meaning to the detection data collected under variable conditions that may be weighed independently of or dependently on each other. The term "variable" as used herein refers to a factor, quantity, or function of an algorithm that has a value or set of values. For example, a variable may be the design of a set of amplified nucleic acid species, the number of sets of amplified nucleic acid species, percent fetal genetic contribution tested, percent maternal genetic contribution tested, type of chromosome abnormality assayed, type of genetic disorder assayed, type of sex-linked abnormalities assayed, the age of the mother and the like. The term "independent" as used herein refers to not being influenced or not being controlled by another. The term "dependent" as used herein refers to being influenced or controlled by another. For example, a particular chromosome and a trisomy event occurring for that particular chromosome that results in a viable being are variables that are dependent upon each other.
One of skill in the art may use any type of method or prediction algorithm to give significance to the data of the present invention within an acceptable sensitivity and/or specificity. For example, prediction algorithms such as Chi-squared test, z-test, t-test, ANOVA (analysis of variance), regression analysis, neural nets, fuzzy logic, Hidden Markov Models, multiple model state estimation, and the like may be used. One or more methods or prediction algorithms may be determined to give significance to the data having different independent and/or dependent varia bles of the present invention. And one or more methods or prediction algorithms may be determined not to give significance to the data having different independent and/or dependent varia bles of the present invention. One may design or change parameters of the different varia bles of methods described herein based on results of one or more prediction algorithms (e.g., num ber of sets analyzed, types of nucleotide species in each set). For example, applying the Chi-squared test to detection data may suggest that specific ranges of maternal age are correlated to a higher likelihood of having an offspring with a specific chromosome a bnormality, hence the varia ble of maternal age may be weighed d ifferently verses being weighed the same as other varia bles.
In certain em bodiments, several algorithms may be chosen to be tested. These algorithms can be trained with raw data. For each new raw data sample, the trained algorithms will assign a classification to that sample (i.e. trisomy or normal). Based on the classifications of the new raw data samples, the trained algorithms' performance may be assessed based on sensitivity and specificity. Finally, an algorithm with the highest sensitivity and/or specificity or com bination thereof may be identified.
DETAILED DESCRIPTION
Introduction
The presence of fetal nucleic acid in maternal plasma was first reported in 1997 and offers the possibility for non-invasive prenatal diagnosis simply through the analysis of a maternal blood sample (Lo et al., Lancet 350:485-487, 1997). To date, numerous potential clinical applications have been developed. In particular, quantitative abnormalities of fetal nucleic acid, for example DNA, concentrations in maternal plasma have been found to be associated with a num ber of pregnancy-associated disorders, including preecla mpsia, preterm la bor, antepartum hemorrhage, invasive placentation, fetal Down syndrome, and other fetal chromosomal aneuploidies. Hence, fetal nucleic acid analysis in maternal plasma represents a powerful mechanism for the monitoring of fetomaternal well-being.
However, fetal DNA co-exists with background maternal DNA in maternal plasma. Hence, most reported applications have relied on the detection of Y-chromosome sequences as these are most conveniently distinguisha ble from maternal DNA. Such an approach limits the applica bility of the existing assays to only 50% of all pregnancies, namely those with male fetuses. Thus, there is much need for the development of sex-independent compositions and methods for enriching and analyzing fetal nucleic acid from a maternal sample. Also, methods that rely on polymorphic markers to quantify fetal nucleic acid may be susceptible to varying heterozygosity rates across different ethnicities thereby limiting their applica bility (e.g., by increasing the number of markers that are needed).
It was previously demonstrated that fetal and maternal DNA can be distinguished by their differences in methylation status (U.S. Patent No. 6,927,028, which is hereby incorporated by reference). Methylation is an epigenetic phenomenon, which refers to processes that alter a phenotype without involving changes in the DNA sequence. By exploiting the difference in the DNA methylation status between mother and fetus, one can successfully detect and analyze fetal nucleic acid in a background of maternal nucleic acid.
The present inventors provides novel genomic polynucleotides that are differentially methylated between the fetal DNA from the fetus (e.g., from the placenta) and the maternal DNA from the mother, for example from peripheral blood cells. This discovery thus provides a new approach for distinguishing fetal and maternal genomic DNA and new methods for accurately quantifying fetal nucleic which may be used for non-invasive prenatal diagnosis.
Methodology
Practicing the invention utilizes routine techniques in the field of molecular biology. Basic texts disclosing the general methods of use in the invention include Sambrook and Russell, Molecular Cloning, A Laboratory Manual (3rd ed. 2001); Kriegler, Gene Transfer and Expression: A Laboratory Manual (1990); and Current Protocols in Molecular Biology (Ausubel et al., eds., 1994)).
For nucleic acids, sizes are given in either kilobases (kb) or base pairs (bp). These are estimates derived from agarose or acrylamide gel electrophoresis, from sequenced nucleic acids, or from published DNA sequences. For proteins, sizes are given in kilodaltons (kDa) or amino acid residue numbers. Protein sizes are estimated from gel electrophoresis, from sequenced proteins, from derived amino acid sequences, or from published protein sequences.
Oligonucleotides that are not commercially available can be chemically synthesized, e.g., according to the solid phase phosphoramidite triester method first described by Beaucage & Caruthers, Tetrahedron Lett. 22: 1859-1862 (1981), using an automated synthesizer, as described in Van Devanter et. al., Nucleic Acids Res. 12: 6159-6168 (1984). Purification of oligonucleotides is performed using any art-recognized strategy, e.g., native acrylamide gel electrophoresis or anion-exchange high performance liquid chromatography (HPLC) as described in Pearson & Reanier, J. Chrom. 255: 137-149 (1983).
Acquisition of Blood Samples and Extraction of DNA
The present invention relates to separating, enriching and analyzing fetal DNA found in maternal blood as a non-invasive means to detect the presence and/or to monitor the progress of a pregnancy- associated condition or disorder. Thus, the first steps of practicing the invention are to obtain a blood sample from a pregnant woman and extract DNA from the sample.
A. Acquisition of Blood Samples
A blood sample is obtained from a pregnant woman at a gestational age suitable for testing using a method of the present invention. The suitable gestational age may vary depending on the disorder tested, as discussed below. Collection of blood from a woman is performed in accordance with the standard protocol hospitals or clinics generally follow. An appropriate amount of peripheral blood, e.g., typically between 5-50 ml, is collected and may be stored according to standard procedure prior to further preparation. Blood samples may be collected, stored or transported in a manner known to the person of ordinary skill in the art to minimize degradation or the quality of nucleic acid present in the sample.
B. Preparation of Blood Samples
The analysis of fetal DNA found in maternal blood according to the present invention may be performed using, e.g., the whole blood, serum, or plasma. The methods for preparing serum or plasma from maternal blood are well known among those of skill in the art. For example, a pregnant woman's blood can be placed in a tu be containing EDTA or a specialized commercial product such as Vacutainer SST (Becton Dickinson, Franklin Lakes, N.J.) to prevent blood clotting, and plasma can then be obtained from whole blood through centrifugation. On the other hand, serum may be obtained with or without centrifugation-following blood clotting. If centrifugation is used then it is typically, though not exclusively, conducted at an appropriate speed, e.g., 1,500-3,000 times g. Plasma or serum may be subjected to additional centrifugation steps before being transferred to a fresh tube for DNA extraction.
In addition to the acellular portion of the whole blood, DNA may also be recovered from the cellular fraction, enriched in the buffy coat portion, which can be obtained following centrifugation of a whole blood sample from the woman and removal of the plasma.
C. Extraction of DNA
There are numerous known methods for extracting DNA from a biological sample including blood. The general methods of DNA preparation (e.g., described by Sambrook and Russell, Molecular Cloning: A Laboratory Manual 3d ed., 2001) can be followed; various commercially available reagents or kits, such as Ojagen's OJAamp Circulating Nucleic Acid Kit, QiaAmp DNA Mini Kit or QiaAmp DNA Blood Mini Kit (Qiagen, Hilden, Germany), GenomicPrep™ Blood DNA Isolation Kit (Promega, Madison, Wis.), and GFX™ Genomic Blood DNA Purification Kit (Amersham, Piscataway, N.J.), may also be used to obtain DNA from a blood sample from a pregnant woman. Combinations of more than one of these methods may also be used.
In some embodiments, the sample may first be enriched or relatively enriched for fetal nucleic acid by one or more methods. For example, the discrimination of fetal and maternal DNA can be performed using the compositions and processes of the present invention alone or in combination with other discriminating factors. Examples of these factors include, but are not limited to, single nucleotide differences between chromosome X and Y, chromosome Y-specific sequences, polymorphisms located elsewhere in the genome, size differences between fetal and maternal DNA and differences in methylation pattern between maternal and fetal tissues. Other methods for enriching a sample for a particular species of nucleic acid are described in PCT Patent Application Number PCT/US07/69991, filed May 30, 2007, PCT Patent Application Number
PCT/US2007/071232, filed June 15, 2007, US Provisional Application Numbers 60/968,876 and
60/968,878 (assigned to the Applicant), (PCT Patent Application Number PCT/EP05/012707, filed November 28, 2005) which are all hereby incorporated by reference. In certain embodiments, maternal nucleic acid is selectively removed (either partially, substantially, almost completely or completely) from the sample.
Methylation Specific Separation of Nucleic Acid
The methods provided herein offer an alternative approach for the enrichment of fetal DNA based on the methylation-specific separation of differentially methylated DNA. It has recently been discovered that many genes involved in developmental regulation are controlled through epigenetics in embryonic stem cells. Consequently, multiple genes can be expected to show differential DNA methylation between nucleic acid of fetal origin and maternal origin. Once these regions are identified, a technique to capture methylated DNA can be used to specifically enrich fetal DNA. For identification of differentially methylated regions, a novel approach was used to capture methylated DNA. This approach uses a protein, in which the methyl binding domain of MBD2 is fused to the Fc fragment of an antibody (MBD-FC) (Gebhard C, Schwarzfischer L, Pham TH, Schilling E, Klug M, Andreesen , Rehli M (2006) Genomewide profiling of CpG methylation identifies novel targets of aberrant hypermethylation in myeloid leukemia. Cancer Res 66:6118-6128). This fusion protein has several advantages over conventional methylation specific antibodies. The MBD-FC has a higher affinity to methylated DNA and it binds double stranded DNA. Most importantly the two proteins differ in the way they bind DNA. Methylation specific antibodies bind DNA stochastically, which means that only a binary answer can be obtained. The methyl binding domain of MBD-FC on the other hand binds all DNA molecules regardless of their methylation status. The strength of this protein - DNA interaction is defined by the level of DNA methylation. After binding genomic DNA, eluate solutions of increasing salt concentrations can be used to fractionate non-methylated and methylated DNA allowing for a more controlled separation (Gebhard C, Schwarzfischer L, Pham TH, Andreesen R, Mackensen A, Rehli M (2006) Rapid and sensitive detection of CpG-methylation using methyl-binding (MB)-PCR. Nucleic Acids Res 34:e82). Consequently this method, called Methyl-CpG immunoprecipitation (MCIP), cannot only enrich, but also fractionate genomic DNA according to methylation level, which is particularly helpful when the unmethylated DNA fraction should be investigated as well.
Methylation Sensitive Restriction Enzyme Digestion
The invention also provides compositions and processes for determining the amount of fetal nucleic acid from a maternal sample. The invention allows for the enrichment of fetal nucleic acid regions in a maternal sample by selectively digesting nucleic acid from said maternal sample with an enzyme that selectively and completely or substantially digests the maternal nucleic acid to enrich the sample for at least one fetal nucleic acid region. Preferably, the digestion efficiency is greater than about 75%, 76%, 77%, 78%, 79%, 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, or 99%. Following enrichment, the amount of fetal nucleic acid can be determined by quantitative methods that do not require polymorphic sequences or bisulfite treatment, thereby, offering a solution that works equally well for female fetuses and across different ethnicities and preserves the low copy number fetal nucleic acid present in the sample.
For example, there are methyl-sensitive enzymes that preferentially or substantially cleave or digest at their DNA recognition sequence if it is non-methylated. Thus, an unmethylated DNA sample will be cut into smaller fragments than a methylated DNA sample. Similarly, a hypermethylated DNA sample will not be cleaved. In contrast, there are methyl-sensitive enzymes that cleave at their DNA recognition sequence only if it is methylated.
Methyl-sensitive enzymes that digest unmethylated DNA suitable for use in methods of the invention include, but are not limited to, Hpall, Hhal, Maell, BstUI and Acil. An enzyme that can be used is Hpall that cuts only the unmethylated sequence CCGG. Another enzyme that can be used is Hhal that cuts only the unmethylated sequence GCGC. Both enzymes are available from New England BioLabs®, Inc. Combinations of two or more methyl-sensitive enzymes that digest only unmethylated DNA can also be used. Suitable enzymes that digest only methylated DNA include, but are not limited to, Dpnl, which cuts at a recognition sequence GATC, and McrBC, which belongs to the family of AAA.sup.+ proteins and cuts DNA containing modified cytosines and cuts at recognition site 5' . . . Pu.sup.mC(N.sub.40-3000) Pu.sup.mC . . . 3' (New England BioLabs, Inc., Beverly, Mass.).
Cleavage methods and procedures for selected restriction enzymes for cutting DNA at specific sites are well known to the skilled artisan. For example, many suppliers of restriction enzymes provide information on conditions and types of DNA sequences cut by specific restriction enzymes, including New England BioLabs, Pro-Mega Biochems, Boehringer-Mannheim, and the like. Sambrook et al. (See Sambrook et al., Molecular Biology: A laboratory Approach, Cold Spring Harbor, N.Y. 1989) provide a general description of methods for using restriction enzymes and other enzymes. Enzymes often are used under conditions that will enable cleavage of the maternal DNA with about 95%-100% efficiency, preferably with about 98%-100% efficiency.
Other Methods for Methylation Analysis
Various methylation analysis procedures are known in the art, and can be used in conjunction with the present invention. These assays allow for determination of the methylation state of one or a plurality of CpG islands within a DNA sequence. In addition, the methods maybe used to quantify methylated nucleic acid. Such assays involve, among other techniques, DNA sequencing of bisulfite-treated DNA, PC (for sequence-specific amplification), Southern blot analysis, and use of methylation-sensitive restriction enzymes.
Genomic sequencing is a technique that has been simplified for analysis of DNA methylation patterns and 5-methylcytosine distribution by using bisulfite treatment (Frommer et al., Proc. Natl. Acad. Sci. USA 89:1827-1831, 1992). Additionally, restriction enzyme digestion of PCR products amplified from bisulfite-converted DNA may be used, e.g., the method described by Sadri & Hornsby (Nucl. Acids Res. 24:5058-5059, 1996), or COBRA (Combined Bisulfite Restriction Analysis) (Xiong & Laird, Nucleic Acids Res. 25:2532-2534, 1997). COBRA analysis is a quantitative methylation assay useful for determining DNA methylation levels at specific gene loci in small amounts of genomic DNA (Xiong & Laird, Nucleic Acids Res. 25:2532-2534, 1997). Briefly, restriction enzyme digestion is used to reveal methylation-dependent sequence differences in PCR products of sodium bisulfite-treated DNA. Methylation-dependent sequence differences are first introduced into the genomic DNA by standard bisulfite treatment according to the procedure described by Frommer et al. (Proc. Natl. Acad. Sci. USA 89:1827-1831, 1992). PCR
amplification of the bisulfite converted DNA is then performed using primers specific for the interested CpG islands, followed by restriction endonuclease digestion, gel electrophoresis, and detection using specific, labeled hybridization probes. Methylation levels in the original DNA sample are represented by the relative amounts of digested and undigested PCR product in a linearly quantitative fashion across a wide spectrum of DNA methylation levels. In addition, this technique can be reliably applied to DNA obtained from microdissected paraffin-embedded tissue samples. Typical reagents (e.g., as might be found in a typical COBRA-based kit) for COBRA analysis may include, but are not limited to: PCR primers for specific gene (or methylation-altered DNA sequence or CpG island); restriction enzyme and appropriate buffer; gene-hybridization oligo; control hybridization oligo; kinase labeling kit for oligo probe; and radioactive nucleotides. Additionally, bisulfite conversion reagents may include: DNA denaturation buffer; sulfonation buffer; DNA recovery reagents or kits (e.g., precipitation, ultrafiltration, affinity column); desulfonation buffer; and DNA recovery components.
The MethyLight™ assay is a high-throughput quantitative methylation assay that utilizes fluorescence- based real-time PCR (TaqMan.RTM.) technology that requires no further manipulations after the PCR step (Eads et al., Cancer Res. 59:2302-2306, 1999). Briefly, the MethyLight.TM. process begins with a mixed sample of genomic DNA that is converted, in a sodium bisulfite reaction, to a mixed pool of methylation-dependent sequence differences according to standard procedures (the bisulfite process converts unmethylated cytosine residues to uracil). Fluorescence-based PCR is then performed either in an "unbiased" (with primers that do not overlap known CpG methylation sites) PCR reaction, or in a "biased" (with PCR primers that overlap known CpG dinucleotides) reaction. Sequence discrimination can occur either at the level of the amplification process or at the level of the fluorescence detection process, or both.
The MethyLight assay may be used as a quantitative test for methylation patterns in the genomic DNA sample, wherein sequence discrimination occurs at the level of probe hybridization. In this quantitative version, the PCR reaction provides for unbiased amplification in the presence of a fluorescent probe that overlaps a particular putative methylation site. An unbiased control for the amount of input DNA is provided by a reaction in which neither the primers, nor the probe overlie any CpG dinucleotides.
Alternatively, a qualitative test for genomic methylation is achieved by probing of the biased PCR pool with either control oligonucleotides that do not "cover" known methylation sites (a fluorescence-based version of the "MSP" technique), or with oligonucleotides covering potential methylation sites.
The MethyLight process can by used with a "TaqMan" probe in the amplification process. For example, double-stranded genomic DNA is treated with sodium bisulfite and subjected to one of two sets of PCR reactions using TaqMan.RTM. probes; e.g., with either biased primers and TaqMan.RTM. probe, or unbiased primers and TaqMan.RTM. probe. The TaqMan.RTM. probe is dual-labeled with fluorescent "reporter" and "quencher" molecules, and is designed to be specific for a relatively high GC content region so that it melts out at about 10. degree. C. higher temperature in the PCR cycle than the forward or reverse primers. This allows the TaqMan.RTM. probe to remain fully hybridized during the PCR annealing/extension step. As the Taq polymerase enzymatically synthesizes a new strand during PCR, it will eventually reach the annealed TaqMan.RTM. probe. The Taq polymerase 5' to 3' endonuclease activity will then displace the TaqMan.RTM. probe by digesting it to release the fluorescent reporter molecule for quantitative detection of its now unquenched signal using a real-time fluorescent detection system.
Typical reagents (e.g., as might be found in a typical MethyLight.TM. -based kit) for MethyLight.TM. analysis may include, but are not limited to: PCR primers for specific gene (or methylation-altered DNA sequence or CpG island); TaqMan.RTM. probes; optimized PCR buffers and deoxynucleotides; and Taq polymerase.
The Ms-SNuPE technique is a quantitative method for assessing methylation differences at specific CpG sites based on bisulfite treatment of DNA, followed by single-nucleotide primer extension (Gonzalgo & Jones, Nucleic Acids Res. 25:2529-2531, 1997).
Briefly, genomic DNA is reacted with sodium bisulfite to convert unmethylated cytosine to uracil while leaving 5-methylcytosine unchanged. Amplification of the desired target sequence is then performed using PCR primers specific for bisulfite-converted DNA, and the resulting product is isolated and used as a template for methylation analysis at the CpG site(s) of interest.
Small amounts of DNA can be analyzed (e.g., microdissected pathology sections), and it avoids utilization of restriction enzymes for determining the methylation status at CpG sites.
Typical reagents (e.g., as might be found in a typical Ms-SNuPE-based kit) for Ms-SNuPE analysis may include, but are not limited to: PCR primers for specific gene (or methylation-altered DNA sequence or CpG island); optimized PCR buffers and deoxynucleotides; gel extraction kit; positive control primers; Ms-SNuPE primers for specific gene; reaction buffer (for the Ms-SNuPE reaction); and radioactive nucleotides. Additionally, bisulfite conversion reagents may include: DNA denaturation buffer;
sulfonation buffer; DNA recovery regents or kit (e.g., precipitation, ultrafiltration, affinity column); desulfonation buffer; and DNA recovery components.
MSP (methylation-specific PCR) allows for assessing the methylation status of virtually any group of CpG sites within a CpG island, independent of the use of methylation-sensitive restriction enzymes (Herman et al. Proc. Nat. Acad. Sci. USA 93:9821-9826, 1996; U.S. Pat. No. 5,786,146). Briefly, DNA is modified by sodium bisulfite converting all unmethylated, but not methylated cytosines to uracil, and subsequently amplified with primers specific for methylated versus umnethylated DNA. MSP requires only small quantities of DNA, is sensitive to 0.1% methylated alleles of a given CpG island locus, and can be performed on DNA extracted from paraffin-embedded samples. Typical reagents (e.g., as might be found in a typical MSP-based kit) for MSP analysis may include, but are not limited to: methylated and unmethylated PCR primers for specific gene (or methylation-altered DNA sequence or CpG island), optimized PCR buffers and deoxynucleotides, and specific probes. The MCA technique is a method that can be used to screen for altered methylation patterns in genomic DNA, and to isolate specific sequences associated with these changes (Toyota et al., Cancer Res.
59:2307-12, 1999). Briefly, restriction enzymes with different sensitivities to cytosine methylation in their recognition sites are used to digest genomic DNAs from primary tumors, cell lines, and normal tissues prior to arbitrarily primed PCR amplification. Fragments that show differential methylation are cloned and sequenced after resolving the PCR products on high-resolution polyacrylamide gels. The cloned fragments are then used as probes for Southern analysis to confirm differential methylation of these regions. Typical reagents (e.g., as might be found in a typical MCA-based kit) for MCA analysis may include, but are not limited to: PCR primers for arbitrary priming Genomic DNA; PCR buffers and nucleotides, restriction enzymes and appropriate buffers; gene-hybridization oligos or probes; control hybridization oligos or probes.
Another method for analyzing methylation sites is a primer extension assay, including an optimized PCR amplification reaction that produces amplified targets for subsequent primer extension genotyping analysis using mass spectrometry. The assay can also be done in multiplex. This method (particularly as it relates to genotyping single nucleotide polymorphisms) is described in detail in PCT publication WO05012578A1 and US publication US20050079521A1. For methylation analysis, the assay can be adopted to detect bisulfite introduced methylation dependent C to T sequence changes. These methods are particularly useful for performing multiplexed amplification reactions and multiplexed primer extension reactions (e.g., multiplexed homogeneous primer mass extension (hME) assays) in a single well to further increase the throughput and reduce the cost per reaction for primer extension reactions.
Four additional methods for DNA methylation analysis include restriction landmark genomic scanning (RLGS, Costello et al., 2000), methylation-sensitive-representational difference analysis (MS-RDA), methylation-specific AP-PCR (MS-AP-PCR) and methyl-CpG binding domain column/segregation of partly melted molecules (MBD/SPM).
Additional methylation analysis methods that may be used in conjunction with the present invention are described in the following papers: Laird, P.W. Nature Reviews Cancer 3, 253-266 (2003); Biotechniques; Uhlmann, K. et al. Electrophoresis 23:4072-4079 (2002) - PyroMeth; Colella et al. Biotechniques. 2003 Jul;35(l):146-50; Dupont JM, Tost J, Jammes H, and Gut IG. Anal Biochem, Oct 2004; 333(1): 119-27; and Tooke N and Pettersson M. IVDT. Nov 2004; 41.
Polynucleotide Sequence Amplification and Determination
Following separation of nucleic acid in a methylation-differential manner, the nucleic acid may be subjected to sequence-based analysis. Furthermore, once it is determined that one particular genomic sequence of fetal origin is hypermethylated or hypomethylated compared to the maternal counterpart, the amount of this fetal genomic sequence can be determined. Subsequently, this amount can be compared to a standard control value and serve as an indication for the potential of certain pregnancy- associated disorder. A. Amplification of Nucleotide Sequences
In many instances, it is desirable to amplify a nucleic acid sequence of the invention using any of several nucleic acid amplification procedures which are well known in the art (listed above and described in greater detail below). Specifically, nucleic acid amplification is the enzymatic synthesis of nucleic acid amplicons (copies) which contain a sequence that is complementary to a nucleic acid sequence being amplified. Nucleic acid amplification is especially beneficial when the amount of target sequence present in a sample is very low. By amplifying the target sequences and detecting the amplicon synthesized, the sensitivity of an assay can be vastly improved, since fewer target sequences are needed at the beginning of the assay to better ensure detection of nucleic acid in the sample belonging to the organism or virus of interest.
A variety of polynucleotide amplification methods are well established and frequently used in research. For instance, the general methods of polymerase chain reaction (PCR) for polynucleotide sequence amplification are well known in the art and are thus not described in detail herein. For a review of PCR methods, protocols, and principles in designing primers, see, e.g., Innis, et al., PCR Protocols: A Guide to Methods and Applications, Academic Press, Inc. N.Y., 1990. PCR reagents and protocols are also available from commercial vendors, such as Roche Molecular Systems.
PCR is most usually carried out as an automated process with a thermostable enzyme. In this process, the temperature of the reaction mixture is cycled through a denaturing region, a primer annealing region, and an extension reaction region automatically. Machines specifically adapted for this purpose are commercially available.
Although PCR amplification of a polynucleotide sequence is typically used in practicing the present invention, one of skill in the art will recognize that the amplification of a genomic sequence found in a maternal blood sample may be accomplished by any known method, such as ligase chain reaction (LCR), transcription-mediated amplification, and self-sustained sequence replication or nucleic acid sequence- based amplification (NASBA), each of which provides sufficient amplification. More recently developed branched-DNA technology may also be used to qualitatively demonstrate the presence of a particular genomic sequence of the invention, which represents a particular methylation pattern, or to quantitatively determine the amount of this particular genomic sequence in the maternal blood. For a review of branched-DNA signal amplification for direct quantitation of nucleic acid sequences in clinical samples, see Nolte, Adv. Clin. Chem. 33:201-235, 1998.
The compositions and processes of the invention are also particularly useful when practiced with digital PCR. Digital PCR was first developed by Kalinina and colleagues (Kalinina et al., "Nanoliter scale PCR with TaqMan detection." Nucleic Acids Research. 25; 1999-2004, (1997)) and further developed by Vogelstein and Kinzler (Digital PCR. Proc Natl Acad Sci U S A. 96; 9236-41, (1999)). The application of digital PCR for use with fetal diagnostics was first described by Cantor et al. (PCT Patent Publication No. WO05023091A2) and subsequently described by Quake et al. (US Patent Publication No. US
20070202525), which are both hereby incorporated by reference. Digital PCR takes advantage of nucleic acid (DNA, cDNA or NA) amplification on a single molecule level, and offers a highly sensitive method for quantifying low copy number nucleic acid. Fluidigm® Corporation offers systems for the digital analysis of nucleic acids.
B. Determination of Polynucleotide Sequences
Techniques for polynucleotide sequence determination are also well established and widely practiced in the relevant research field. For instance, the basic principles and general techniques for polynucleotide sequencing are described in various research reports and treatises on molecular biology and recombinant genetics, such as Wallace et al., supra; Sambrook and Russell, supra, and Ausu bel et al., supra. DNA sequencing methods routinely practiced in research laboratories, either manual or automated, can be used for practicing the present invention. Additional means suitable for detecting changes in a polynucleotide sequence for practicing the methods of the present invention include but are not limited to mass spectrometry, primer extension, polynucleotide hybridization, real-time PCR, and electrophoresis.
Use of a primer extension reaction also can be applied in methods of the invention. A primer extension reaction operates, for example, by discriminating the SNP alleles by the incorporation of
deoxynucleotides and/or dideoxynucleotides to a primer extension primer which hybridizes to a region adjacent to the SNP site. The primer is extended with a polymerase. The primer extended SNP can be detected physically by mass spectrometry or by a tagging moiety such as biotin. As the SNP site is only extended by a complementary deoxynucleotide or dideoxynucleotide that is either tagged by a specific label or generates a primer extension product with a specific mass, the SNP alleles can be discriminated and quantified.
Reverse transcribed and amplified nucleic acids may be modified nucleic acids. Modified nucleic acids can include nucleotide analogs, and in certain embodiments include a detectable label and/or a capture agent. Examples of detectable labels include without limitation fluorophores, radioisotopes, colormetric agents, light emitting agents, chemiluminescent agents, light scattering agents, enzymes and the like. Examples of capture agents include without limitation an agent from a binding pair selected from antibody/antigen, antibody/antibody, antibody/antibody fragment, antibody/antibody receptor, antibody/protein A or protein G, hapten/anti-hapten, biotin/avidin, biotin/streptavidin, folic acid/folate binding protein, vitamin B12/intrinsic factor, chemical reactive group/complementary chemical reactive group (e.g., sulfhydryl/maleimide, sulfhydryl/haloacetyl derivative, amine/isotriocyanate,
amine/succinimidyl ester, and amine/sulfonyl halides) pairs, and the like. Modified nucleic acids having a capture agent can be immobilized to a solid support in certain embodiments
Mass spectrometry is a particularly effective method for the detection of a polynucleotide of the invention, for example a PCR amplicon, a primer extension product or a detector probe that is cleaved from a target nucleic acid. The presence of the polynucleotide sequence is verified by comparing the mass of the detected signal with the expected mass of the polynucleotide of interest. The relative signal strength, e.g., mass peak on a spectra, for a particular polynucleotide sequence indicates the relative population of a specific allele, thus enabling calculation of the allele ratio directly from the data. For a review of genotyping methods using Sequenom® standard iPLEX™ assay and MassARRAY® technology, see Jurinke, C, Oeth, P., van den Boom, D., "MALDI-TOF mass spectrometry: a versatile tool for high- performance DNA analysis." Mol. Biotechnol. 26, 147-164 (2004); and Oeth, P. et al., "iPLEX™ Assay: Increased Plexing Efficiency and Flexibility for MassARRAY® System through single base primer extension with mass-modified Terminators." SEQUENOM Application Note (2005), both of which are hereby incorporated by reference. For a review of detecting and quantifying target nucleic using cleavable detector probes that are cleaved during the amplification process and detected by mass spectrometry, see US Patent Application Number 11/950,395, which was filed December 4, 2007, and is hereby incorporated by reference.
Sequencing technologies are improving in terms of throughput and cost. Sequencing technologies, such as that achievable on the 454 platform (Roche) (Margulies, M. et al. 2005 Nature 437, 376-380), lllumina Genome Analyzer (or Solexa platform) or SOLiD System (Applied Biosystems) or the Helicos True Single Molecule DNA sequencing technology (Harris T D et al. 2008 Science, 320, 106-109), the single molecule, real-time (SMRT.TM.) technology of Pacific Biosciences, and nanopore sequencing (Soni GV and Meller A. 2007 Clin Chem 53: 1996-2001), allow the sequencing of many nucleic acid molecules isolated from a specimen at high orders of multiplexing in a parallel fashion (Dear Brief Funct Genomic Proteomic 2003; 1: 397-416).
Each of these platforms allow sequencing of clonally expanded or non-amplified single molecules of nucleic acid fragments. Certain platforms involve, for example, (i) sequencing by ligation of dye- modified probes (including cyclic ligation and cleavage), (ii) pyrosequencing, and (iii) single-molecule sequencing. Nucleotide sequence species, amplification nucleic acid species and detectable products generated there from can be considered a "study nucleic acid" for purposes of analyzing a nucleotide sequence by such sequence analysis platforms.
Sequencing by ligation is a nucleic acid sequencing method that relies on the sensitivity of DNA ligase to base-pairing mismatch. DNA ligase joins together ends of DNA that are correctly base paired. Combining the ability of DNA ligase to join together only correctly base paired DNA ends, with mixed pools of fluorescently labeled oligonucleotides or primers, enables sequence determination by fluorescence detection. Longer sequence reads may be obtained by including primers containing cleavable linkages that can be cleaved after label identification. Cleavage at the linker removes the label and regenerates the 5' phosphate on the end of the ligated primer, preparing the primer for another round of ligation. In some embodiments primers may be labeled with more than one fluorescent label (e.g., 1 fluorescent label, 2, 3, or 4 fluorescent labels).
An example of a system that can be used by a person of ordinary skill based on sequencing by ligation generally involves the following steps. Clonal bead populations can be prepared in emulsion microreactors containing study nucleic acid ("template"), amplification reaction components, beads and primers. After amplification, templates are denatured and bead enrichment is performed to separate beads with extended templates from undesired beads (e.g., beads with no extended templates). The template on the selected beads undergoes a 3' modification to allow covalent bonding to the slide, and modified beads can be deposited onto a glass slide. Deposition chambers offer the ability to segment a slide into one, four or eight chambers during the bead loading process. For sequence analysis, primers hybridize to the adapter sequence. A set of four color dye-labeled probes competes for ligation to the sequencing primer. Specificity of probe ligation is achieved by interrogating every 4th and 5th base during the ligation series. Five to seven rounds of ligation, detection and cleavage record the color at every 5th position with the number of rounds determined by the type of library used. Following each round of ligation, a new complimentary primer offset by one base in the 5' direction is laid down for another series of ligations. Primer reset and ligation rounds (5-7 ligation cycles per round) are repeated sequentially five times to generate 25-35 base pairs of sequence for a single tag. With mate-paired sequencing, this process is repeated for a second tag. Such a system can be used to exponentially amplify amplification products generated by a process described herein, e.g., by ligating a heterologous nucleic acid to the first amplification product generated by a process described herein and performing emulsion amplification using the same or a different solid support originally used to generate the first amplification product. Such a system also may be used to analyze amplification products directly generated by a process described herein by bypassing an exponential amplification process and directly sorting the solid supports described herein on the glass slide.
Pyrosequencing is a nucleic acid sequencing method based on sequencing by synthesis, which relies on detection of a pyrophosphate released on nucleotide incorporation. Generally, sequencing by synthesis involves synthesizing, one nucleotide at a time, a DNA strand complimentary to the strand whose sequence is being sought. Study nucleic acids may be immobilized to a solid support, hybridized with a sequencing primer, incubated with DNA polymerase, ATP sulfurylase, luciferase, apyrase, adenosine 5' phosphsulfate and luciferin. Nucleotide solutions are sequentially added and removed. Correct incorporation of a nucleotide releases a pyrophosphate, which interacts with ATP sulfurylase and produces ATP in the presence of adenosine 5' phosphsulfate, fueling the luciferin reaction, which produces a chemiluminescent signal allowing sequence determination.
An example of a system that can be used by a person of ordinary skill based on pyrosequencing generally involves the following steps: ligating an adaptor nucleic acid to a study nucleic acid and hybridizing the study nucleic acid to a bead; amplifying a nucleotide sequence in the study nucleic acid in an emulsion; sorting beads using a picoliter multiwell solid support; and sequencing amplified nucleotide sequences by pyrosequencing methodology (e.g., Nakano et al., "Single-molecule PC using water-in-oil emulsion;" Journal of Biotechnology 102: 117-124 (2003)). Such a system can be used to exponentially amplify amplification products generated by a process described herein, e.g., by ligating a heterologous nucleic acid to the first amplification product generated by a process described herein.
Certain single-molecule sequencing embodiments are based on the principal of sequencing by synthesis, and utilize single-pair Fluorescence Resonance Energy Transfer (single pair FRET) as a mechanism by which photons are emitted as a result of successful nucleotide incorporation. The emitted photons often are detected using intensified or high sensitivity cooled charge-couple-devices in conjunction with total internal reflection microscopy (TIRM). Photons are only emitted when the introduced reaction solution contains the correct nucleotide for incorporation into the growing nucleic acid chain that is synthesized as a result of the sequencing process. In FRET based single-molecule sequencing, energy is transferred between two fluorescent dyes, sometimes polymethine cyanine dyes Cy3 and Cy5, through long-range dipole interactions. The donor is excited at its specific excitation wavelength and the excited state energy is transferred, non-radiatively to the acceptor dye, which in turn becomes excited. The acceptor dye eventually returns to the ground state by radiative emission of a photon. The two dyes used in the energy transfer process represent the "single pair", in single pair FRET. Cy3 often is used as the donor fluorophore and often is incorporated as the first labeled nucleotide. Cy5 often is used as the acceptor fluorophore and is used as the nucleotide label for successive nucleotide additions after incorporation of a first Cy3 labeled nucleotide. The fluorophores generally are within 10 nanometers of each for energy transfer to occur successfully.
An example of a system that can be used based on single-molecule sequencing generally involves hybridizing a primer to a study nucleic acid to generate a complex; associating the complex with a solid phase; iteratively extending the primer by a nucleotide tagged with a fluorescent molecule; and capturing an image of fluorescence resonance energy transfer signals after each iteration (e.g., U.S. Patent No. 7,169,314; Braslavsky et al., PNAS 100(7): 3960-3964 (2003)). Such a system can be used to directly sequence amplification products generated by processes described herein. In some
embodiments the released linear amplification product can be hybridized to a primer that contains sequences complementary to immobilized capture sequences present on a solid support, a bead or glass slide for example. Hybridization of the primer-released linear amplification product complexes with the immobilized capture sequences, immobilizes released linear amplification products to solid supports for single pair FRET based sequencing by synthesis. The primer often is fluorescent, so that an initial reference image of the surface of the slide with immobilized nucleic acids can be generated. The initial reference image is useful for determining locations at which true nucleotide incorporation is occurring. Fluorescence signals detected in array locations not initially identified in the "primer only" reference image are discarded as non-specific fluorescence. Following immobilization of the primer-released linear amplification product complexes, the bound nucleic acids often are sequenced in parallel by the iterative steps of, a) polymerase extension in the presence of one fluorescently labeled nucleotide, b) detection of fluorescence using appropriate microscopy, TIRM for example, c) removal of fluorescent nucleotide, and d) return to step a with a different fluorescently labeled nucleotide.
In some embodiments, nucleotide sequencing may be by solid phase single nucleotide sequencing methods and processes. Solid phase single nucleotide sequencing methods involve contacting sample nucleic acid and solid support under conditions in which a single molecule of sample nucleic acid hybridizes to a single molecule of a solid support. Such conditions can include providing the solid support molecules and a single molecule of sample nucleic acid in a "microreactor." Such conditions also can include providing a mixture in which the sample nucleic acid molecule can hybridize to solid phase nucleic acid on the solid support. Single nucleotide sequencing methods useful in the
embodiments described herein are described in United States Provisional Patent Application Serial Number 61/021,871 filed January 17, 2008.
In certain embodiments, nanopore sequencing detection methods include (a) contacting a nucleic acid for sequencing ("base nucleic acid," e.g., linked probe molecule) with sequence-specific detectors, under conditions in which the detectors specifically hybridize to substantially complementary subsequences of the base nucleic acid; (b) detecting signals from the detectors and (c) determining the sequence of the base nucleic acid according to the signals detected. In certain embodiments, the detectors hybridized to the base nucleic acid are disassociated from the base nucleic acid (e.g., sequentially dissociated) when the detectors interfere with a nanopore structure as the base nucleic acid passes through a pore, and the detectors disassociated from the base sequence are detected. In some embodiments, a detector disassociated from a base nucleic acid emits a detectable signal, and the detector hybridized to the base nucleic acid emits a different detectable signal or no detectable signal. In certain embodiments, nucleotides in a nucleic acid (e.g., linked probe molecule) are substituted with specific nucleotide sequences corresponding to specific nucleotides ("nucleotide representatives"), thereby giving rise to an expanded nucleic acid (e.g., U.S. Patent No. 6,723,513), and the detectors hybridize to the nucleotide representatives in the expanded nucleic acid, which serves as a base nucleic acid. In such embodiments, nucleotide representatives may be arranged in a binary or higher order arrangement (e.g., Soni and Meller, Clinical Chemistry 53(11): 1996-2001 (2007)). In some embodiments, a nucleic acid is not expanded, does not give rise to an expanded nucleic acid, and directly serves a base nucleic acid (e.g., a linked probe molecule serves as a non-expanded base nucleic acid), and detectors are directly contacted with the base nucleic acid. For example, a first detector may hybridize to a first subsequence and a second detector may hybridize to a second subsequence, where the first detector and second detector each have detectable labels that can be distinguished from one another, and where the signals from the first detector and second detector can be distinguished from one another when the detectors are disassociated from the base nucleic acid. In certain embodiments, detectors include a region that hybridizes to the base nucleic acid (e.g., two regions), which can be about 3 to about 100 nucleotides in length (e.g., about 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 50, 55, 60, 65, 70, 75, 80, 85, 90, or 95 nucleotides in length). A detector also may include one or more regions of nucleotides that do not hybridize to the base nucleic acid. In some embodiments, a detector is a molecular beacon. A detector often comprises one or more detectable labels independently selected from those described herein. Each detectable label can be detected by any convenient detection process capable of detecting a signal generated by each label (e.g., magnetic, electric, chemical, optical and the like). For example, a CD camera can be used to detect signals from one or more distinguishable quantum dots linked to a detector.
In certain sequence analysis embodiments, reads may be used to construct a larger nucleotide sequence, which can be facilitated by identifying overlapping sequences in different reads and by using identification sequences in the reads. Such sequence analysis methods and software for constructing larger sequences from reads are known to the person of ordinary skill (e.g., Venter et al., Science 291: 1304-1351 (2001)). Specific reads, partial nucleotide sequence constructs, and full nucleotide sequence constructs may be compared between nucleotide sequences within a sample nucleic acid (i.e., internal comparison) or may be compared with a reference sequence (i.e., reference comparison) in certain sequence analysis embodiments. Internal comparisons sometimes are performed in situations where a sample nucleic acid is prepared from multiple samples or from a single sample source that contains sequence variations. Reference comparisons sometimes are performed when a reference nucleotide sequence is known and an objective is to determine whether a sample nucleic acid contains a nucleotide sequence that is substantially similar or the same, or different, than a reference nucleotide sequence. Sequence analysis is facilitated by sequence analysis apparatus and components known to the person of ordinary skill in the art.
Methods provided herein allow for high-throughput detection of nucleic acid species in a plurality of nucleic acids (e.g., nucleotide sequence species, amplified nucleic acid species and detectable products generated from the foregoing). Multiplexing refers to the simultaneous detection of more than one nucleic acid species. General methods for performing multiplexed reactions in conjunction with mass spectrometry, are known (see, e.g., U.S. Pat. Nos. 6,043,031, 5,547,835 and International PCT application No. WO 97/37041). Multiplexing provides an advantage that a plurality of nucleic acid species (e.g., some having different sequence variations) can be identified in as few as a single mass spectrum, as compared to having to perform a separate mass spectrometry analysis for each individual target nucleic acid species. Methods provided herein lend themselves to high-throughput, highly- automated processes for analyzing sequence variations with high speed and accuracy, in some embodiments. In some embodiments, methods herein may be multiplexed at high levels in a single reaction.
In certain embodiments, the number of nucleic acid species multiplexed include, without limitation, about 1 to about 500 (e.g., about 1-3, 3-5, 5-7, 7-9, 9-11, 11-13, 13-15, 15-17, 17-19, 19-21, 21-23, 23- 25, 25-27, 27-29, 29-31, 31-33, 33-35, 35-37, 37-39, 39-41, 41-43, 43-45, 45-47, 47-49, 49-51, 51-53, 53- 55, 55-57, 57-59, 59-61, 61-63, 63-65, 65-67, 67-69, 69-71, 71-73, 73-75, 75-77, 77-79, 79-81, 81-83, 83- 85, 85-87, 87-89, 89-91, 91-93, 93-95, 95-97, 97-101, 101-103, 103-105, 105-107, 107-109, 109-111, 111-113, 113-115, 115-117, 117-119, 121-123, 123-125, 125-127, 127-129, 129-131, 131-133, 133-135, 135-137, 137-139, 139-141, 141-143, 143-145, 145-147, 147-149, 149-151, 151-153, 153-155, 155-157, 157-159, 159-161, 161-163, 163-165, 165-167, 167-169, 169-171, 171-173, 173-175, 175-177, 177-179, 179-181, 181-183, 183-185, 185-187, 187-189, 189-191, 191-193, 193-195, 195-197, 197-199, 199-201, 201-203, 203-205, 205-207, 207-209, 209-211, 211-213, 213-215, 215-217, 217-219, 219-221, 221-223, 223-225, 225-227, 227-229, 229-231, 231-233, 233-235, 235-237, 237-239, 239-241, 241-243, 243-245, 245-247, 247-249, 249-251, 251-253, 253-255, 255-257, 257-259, 259-261, 261-263, 263-265, 265-267, 267-269, 269-271, 271-273, 273-275, 275-277, 277-279, 279-281, 281-283, 283-285, 285-287, 287-289, 289-291, 291-293, 293-295, 295-297, 297-299, 299-301, 301- 303, 303- 305, 305- 307, 307- 309, 309- 311, 311- 313, 313- 315, 315- 317, 317- 319, 319-321, 321-323, 323-325, 325-327, 327-329, 329-331, 331-333, 333- 335, 335-337, 337-339, 339-341, 341-343, 343-345, 345-347, 347-349, 349-351, 351-353, 353-355, 355-357, 357-359, 359-361, 361-363, 363-365, 365-367, 367-369, 369-371, 371-373, 373-375, 375-377, 377-379, 379-381, 381-383, 383-385, 385-387, 387-389, 389-391, 391-393, 393-395, 395-397, 397-401, 401- 403, 403- 405, 405- 407, 407- 409, 409- 411, 411- 413, 413- 415, 415- 417, 417- 419, 419- 421, 421-423, 423-425, 425-427, 427-429, 429-431, 431-433, 433- 435, 435-437, 437-439, 439-441, 441- 443, 443-445, 445-447, 447-449, 449-451, 451-453, 453-455, 455-457, 457-459, 459-461, 461-463, 463- 465, 465-467, 467-469, 469-471, 471-473, 473-475, 475-477, 477-479, 479-481, 481-483, 483-485, 485- 487, 487-489, 489-491, 491-493, 493-495, 495-497, 497-501).
Design methods for achieving resolved mass spectra with multiplexed assays can include primer and oligonucleotide design methods and reaction design methods. See, for example, the multiplex schemes provided in Tables X and Y. For primer and oligonucleotide design in multiplexed assays, the same general guidelines for primer design applies for uniplexed reactions, such as avoiding false priming and primer dimers, only more primers are involved for multiplex reactions. For mass spectrometry applications, analyte peaks in the mass spectra for one assay are sufficiently resolved from a product of any assay with which that assay is multiplexed, including pausing peaks and any other by-product peaks. Also, analyte peaks optimally fall within a user-specified mass window, for example, within a range of 5,000-8,500 Da. In some embodiments multiplex analysis may be adapted to mass spectrometric detection of chromosome abnormalities, for example. In certain embodiments multiplex analysis may be adapted to various single nucleotide or nanopore based sequencing methods described herein. Commercially produced micro-reaction chambers or devices or arrays or chips may be used to facilitate multiplex analysis, and are commercially available.
Detection of Fetal Aneuploidy
For the detection of fetal aneuploidies, some methods rely on measuring the ratio between maternally and paternally inherited alleles. However, the ability to quantify chromosomal changes is impaired by the maternal contribution of cell free nucleic acids, which makes it necessary to deplete the sample from maternal DNA prior to measurement. Promising approaches take advantage of the different size distribution of fetal and maternal DNA or measure RNA that is exclusively expressed by the fetus (see for example, US Patent Application No. 11/384128, which pu blished as US20060252071 and is hereby incorporated by reference). Assuming fetal DNA makes up only about 5% of all cell free DNA in the maternal plasma, there is a decrease of the ratio difference from 1.6% to only about 1.2% between a trisomy sample and a healthy control. Consequently, reliable detection of allele ratio changes requires enriching the fetal fraction of cell free DNA, for example, using the compositions and methods of the present invention.
Some methods rely on measuring the ratio of maternal to paternally inherited alleles to detect fetal chromosomal aneuploidies from maternal plasma. A diploid set yields a 1:1 ratio while trisomies can be detected as a 2:1 ratio. Detection of this difference is impaired by statistical sampling due to the low abundance of fetal DNA, presence of excess maternal DNA in the plasma sample and variability of the measurement technique. The latter is addressed by using methods with high measurement precision, like digital PCR or mass spectrometry. Enriching the fetal fraction of cell free DNA in a sample is currently achieved by either depleting maternal DNA through size exclusion or focusing on fetal-specific nucleic acids, like fetal-expressed RNA. Another differentiating feature of fetal DNA is its DNA methylation pattern. Thus, provided herein are novel compositions and methods for accurately quantifying fetal nucleic acid based on differential methylation between a fetus and mother. The methods rely on sensitive absolute copy number analysis to quantify the fetal nucleic acid portion of a maternal sample, thereby allowing for the prenatal detection of fetal traits. The methods of the invention have identified approximately 3000 CpG rich regions in the genome that are differentially methylated between maternal and fetal DNA. The selected regions showed highly conserved differential methylation across all measured samples. In addition the set of regions is enriched for genes important in developmental regulation, indicating that epigenetic regulation of these areas is a biologically relevant and consistent process (see Table 3). Enrichment of fetal DNA can now be achieved by using our MBD-FC protein to capture all cell free DNA and then elute the highly methylated DNA fraction with high salt concentrations. Using the low salt eluate fractions, the MBD-FC is equally capable of enriching non-methylated fetal DNA.
The present invention provides 63 confirmed genomic regions on chromosomes 13, 18 and 21 with low maternal and high fetal methylation levels. After capturing these regions, SNPs can be used to determine the aforementioned allele ratios. When high frequency SNPs are used around 10 markers have to be measured to achieve a high confidence of finding at least one SNP where the parents have opposite homozygote genotypes and the child has a heterozygote genotype.
In an embodiment, a method for chromosomal abnormality detection is provided that utilizes absolute copy number quantification. A diploid chromosome set will show the same number of copies for differentially methylated regions across all chromosomes, but, for example, a trisomy 21 sample would show 1.5 times more copies for differentially methylated regions on chromosome 21. Normalization of the genomic DNA amounts for a diploid chromosome set can be achieved by using unaltered autosomes as reference (also provided herein - see Table IB). Comparable to other approaches, a single marker is less likely to be sufficient for detection of this difference, because the overall copy numbers are low. Typically there are approximately 100 to 200 copies of fetal DNA from 1 ml of maternal plasma at 10 to 12 weeks of gestation. However, the methods of the present invention offer a redundancy of detectable markers that enables highly reliable discrimination of diploid versus aneuploid chromosome sets.
Data Processing and Identifying Presence or Absence of a Chromosome Abnormality
The term "detection" of a chromosome abnormality as used herein refers to identification of an imbalance of chromosomes by processing data arising from detecting sets of amplified nucleic acid species, nucleotide sequence species, or a detectable product generated from the foregoing (collectively "detectable product"). Any suitable detection device and method can be used to distinguish one or more sets of detectable products, as addressed herein. An outcome pertaining to the presence or absence of a chromosome abnormality can be expressed in any suitable form, including, without limitation, probability (e.g., odds ratio, p-value), likelihood, percentage, value over a threshold, or risk factor, associated with the presence of a chromosome abnormality for a subject or sample. An outcome may be provided with one or more of sensitivity, specificity, standard deviation, coefficient of variation (CV) and/or confidence level, or combinations of the foregoing, in certain embodiments.
Detection of a chromosome abnormality based on one or more sets of detectable products may be identified based on one or more calculated variables, including, but not limited to, sensitivity, specificity, standard deviation, coefficient of variation (CV), a threshold, confidence level, score, probability and/or a combination thereof. In some embodiments, (i) the number of sets selected for a diagnostic method, and/or (ii) the particular nucleotide sequence species of each set selected for a diagnostic method, is determined in part or in full according to one or more of such calculated variables.
In certain embodiments, one or more of sensitivity, specificity and/or confidence level are expressed as a percentage. In some embodiments, the percentage, independently for each variable, is greater than about 90% (e.g., about 90, 91, 92, 93, 94, 95, 96, 97, 98 or 99%, or greater than 99% (e.g., about 99.5%, or greater, a bout 99.9% or greater, about 99.95% or greater, about 99.99% or greater)). Coefficient of variation (CV) in some embodiments is expressed as a percentage, and sometimes the percentage is about 10% or less (e.g., a bout 10, 9, 8, 7, 6, 5, 4, 3, 2 or 1%, or less than 1% (e.g., about 0.5% or less, about 0.1% or less, about 0.05% or less, about 0.01% or less)). A probability (e.g., that a particular outcome determined by an algorithm is not due to chance) in certain embodiments is expressed as a p- value, and sometimes the p-value is about 0.05 or less (e.g., about 0.05, 0.04, 0.03, 0.02 or 0.01, or less than 0.01 (e.g., about 0.001 or less, about 0.0001 or less, about 0.00001 or less, about 0.000001 or less)).
For example, scoring or a score may refer to calculating the probability that a particular chromosome abnormality is actually present or a bsent in a subject/sample. The value of a score may be used to determine for example the variation, difference, or ratio of amplified nucleic detectable product that may correspond to the actual chromosome abnormality. For example, calculating a positive score from detectable products can lead to an identification of a chromosome abnormality, which is particularly relevant to analysis of single samples.
In certain embodiments, simulated (or simulation) data can aid data processing for example by training an algorithm or testing an algorithm. Simulated data may for instance involve hypothetical various samples of different concentrations of fetal and maternal nucleic acid in serum, plasma and the like. Simulated data may be based on what might be expected from a real population or may be skewed to test an algorithm and/or to assign a correct classification based on a simulated data set. Simulated data also is referred to herein as "virtual" data. Fetal/maternal contributions within a sample can be simulated as a table or array of numbers (for example, as a list of peaks corresponding to the mass signals of cleavage products of a reference biomolecule or amplified nucleic acid sequence), as a mass spectrum, as a pattern of bands on a gel, or as a representation of any technique that measures mass distribution. Simulations can be performed in most instances by a computer program. One possible step in using a simulated data set is to evaluate the confidence of the identified results, i.e. how well the selected positives/negatives match the sample and whether there are additional variations. A common approach is to calculate the probability value (p-value) which estimates the probability of a random sample having better score than the selected one. As p-value calculations can be prohibitive in certain circumstances, an empirical model may be assessed, in which it is assumed that at least one sample matches a reference sample (with or without resolved variations). Alternatively other distributions such as Poisson distribution can be used to describe the probability distribution.
In certain embodiments, an algorithm can assign a confidence value to the true positives, true negatives, false positives and false negatives calculated. The assignment of a likelihood of the occurrence of a chromosome abnormality can also be based on a certain probability model.
Simulated data often is generated in an in silico process. As used herein, the term "in silico" refers to research and experiments performed using a computer. In silico methods include, but are not limited to, molecular modeling studies, karyotyping, genetic calculations, biomolecular docking experiments, and virtual representations of molecular structures and/or processes, such as molecular interactions. As used herein, a "data processing routine" refers to a process, that can be embodied in software, that determines the biological significance of acquired data (i.e., the ultimate results of an assay). For example, a data processing routine can determine the amount of each nucleotide sequence species based upon the data collected. A data processing routine also may control an instrument and/or a data collection routine based upon results determined. A data processing routine and a data collection routine often are integrated and provide feed back to operate data acquisition by the instrument, and hence provide assay-based judging methods provided herein.
As used herein, software refers to computer readable program instructions that, when executed by a computer, perform computer operations. Typically, software is provided on a program product containing program instructions recorded on a computer readable medium, including, but not limited to, magnetic media including floppy disks, hard disks, and magnetic tape; and optical media including CD-ROM discs, DVD discs, magneto-optical discs, and other such media on which the program instructions can be recorded.
Different methods of predicting abnormality or normality can produce different types of results. For any given prediction, there are four possible types of outcomes: true positive, true negative, false positive, or false negative. The term "true positive" as used herein refers to a subject correctly diagnosed as having a chromosome abnormality. The term "false positive" as used herein refers to a subject wrongly identified as having a chromosome abnormality. The term "true negative" as used herein refers to a subject correctly identified as not having a chromosome abnormality. The term "false negative" as used herein refers to a subject wrongly identified as not having a chromosome abnormality. Two measures of performance for any given method can be calculated based on the ratios of these occurrences: (i) a sensitivity value, the fraction of predicted positives that are correctly identified as being positives (e.g., the fraction of nucleotide sequence sets correctly identified by level comparison
detection/determination as indicative of chromosome abnormality, relative to all nucleotide sequence sets identified as such, correctly or incorrectly), thereby reflecting the accuracy of the results in detecting the chromosome abnormality; and (ii) a specificity value, the fraction of predicted negatives correctly identified as being negative (the fraction of nucleotide sequence sets correctly identified by level comparison detection/determination as indicative of chromosomal normality, relative to all nucleotide sequence sets identified as such, correctly or incorrectly), thereby reflecting accuracy of the results in detecting the chromosome abnormality.
EXAMPLES
The following examples are provided by way of illustration only and not by way of limitation. Those of skill in the art will readily recognize a variety of non-critical parameters that could be changed or modified to yield essentially the same or similar results.
In Example 1 below, the Applicants used a new fusion protein that captures methylated DNA in combination with CpG Island array to identify genomic regions that are differentially methylated between fetal placenta tissue and maternal blood. A stringent statistical approach was used to only select regions which show little variation between the samples, and hence suggest an underlying biological mechanism. Eighty-five differentially methylated genomic regions predominantly located on chromosomes 13, 18 and 21 were validated. For this validation, a quantitative mass spectrometry based approach was used that interrogated 261 PC amplicons covering these 85 regions. The results are in very good concordance (95% confirmation), proving the feasibility of the approach.
Next, the Applicants provide an innovative approach for aneuploidy testing, which relies on the measurement of absolute copy numbers rather than allele ratios.
Example 1
In the below Example, ten paired maternal and placental DNA samples were used to identify differentially methylated regions. These results were validated using a mass spectrometry-based quantitative methylation assay. First, genomic DNA from maternal buffy coat and corresponding placental tissue was first extracted. Next the M BD-FC was used to capture the methylated fraction of each DNA sample. See Figures 1-3. The two tissue fractions were labeled with different fluorescent dyes and hybridized to an Agilent® CpG Island microarray. See Figure 4. This was done to identify differentially methylated regions that could be utilized for prenatal diagnoses. Therefore, two criteria were employed to select genomic regions as potential enrichment markers: the observed methylation difference had to be present in all tested sample pairs, and the region had to be more than 200 bp in length.
DNA preparation and fragmentation
Genomic DNA (gDNA) from maternal buffy coat and placental tissue was prepared using the QIAamp DNA Mini Kit™ and QIAamp DNA Blood Mini Kit™, respectively, from Qiagen® (Hilden, Germany). For MClp, gDNA was quantified using the NanoDrop ND 1000™ spectrophotometer (Thermo Fisher®, Waltham, MA,USA). Ultrasonication of 2.5 μg DNA in 500 μΙ TE buffer to a mean fragment size of 300- 500 bp was carried out with the Branson Digital Sonifier 450™ (Danbury, CT, USA) using the following settings: amplitude 20%, sonication time 110 seconds, pulse on/pulse off time 1.4/0.6 seconds.
Fragment range was monitored using gel electrophoresis.
Methyl-CpG Immunoprecipitation
Per sample, 56 μg purified MBD-Fc protein and 150 μΙ of Protein A Sepharose 4 Fast Flow beads (Amersham Biosciences®, Piscataway, NJ, USA) were rotated in 15 ml TBS overnight at 4°C. Then, theMBD-Fc beads (150 μΙ/assay) were transferred and dispersed in to 2 ml Ultrafree-CL centrifugal filter devices (Millipore®, Billerica, MA, USA) and spin-washed three times with Buffer A (20 mM Tris-HCI, pH8.0, 2 mM MgCI2, 0.5 mM EDTA 300 mM NaCI, 0.1% NP-40). Sonicated DNA (2 μg) was added to the washed MBD-Fc beads in 2 ml Buffer A and rotated for 3 hours at 4°C. Beads were centrifuged to recover unbound DNA fragments (300 mM fraction) and subsequently washed twice with 600 μΙ of buffers containing increasing NaCI concentrations (400, 500, 550, 600, and 1000 mM). The flow through of each wash step was collected in separate tubes and desalted using a MinElute PCR Purification Kit™ (Qiagen®). In parallel, 200 ng sonicated input DNA was processed as a control using the MinElute PC Purification Kit™ (Qiagen®).
Microarray handling and analysis
To generate fluorescently labeled DNA for microarray hybridization, the 600 mM and 1M NaCI fractions (enriched methylated DNA) for each sample were combined and labeled with either Alexa Fluor 555- aha-dCTP (maternal) or Alexa Fluor 647-aha-dCTP (placental) using the BioPrime Total Genomic Labeling System™ (Invitrogen®, Carlsbad, CA, USA). The labeling reaction was carried out according to the manufacturer's manual. The differently labeled genomic DNA fragments of matched
maternal/placental pairs were combined to a final volume of 80 μΙ, supplemented with 50 μg Cot-1 DNA (Invitrogen®), 52 μΙ of Agilent 10X blocking reagent (Agilent Technologies®, Santa Clara, CA, USA), 78 μΙ of deionized formamide, and 260 μΙ Agilent 2X hybridization buffer. The samples were heated to 95°C for 3 min, mixed, and subsequently incubated at 37°C for 30 min. Hybridization on Agilent CpG Island Microarray Kit™ was then carried out at 67°C for 40 hours using an Agilent SureHyb™ chamber and an Agilent hybridization oven. Slides were washed in Wash I (6X SSPE, 0.005% N-lauroylsarcosine) at room temperature for 5 min and in Wash II (0.06X SSPE) at 37°C for an additional 5 min. Next, the slides were submerged in acetonitrile and Agilent Ozone Protection Solution™, respectively, for 30 seconds. Images were scanned immediately and analyzed using an Agilent DNA Microarray Scanner™. Microarray images were processed using Feature Extraction Software v9.5 and the standard CGH protocol.
Bisulfite Treatment
Genomic DNA sodium bisulfite conversion was performed using EZ-96 DNA Methylation Kit™
(ZymoResearch, Orange County, CA). The manufacturer's protocol was followed using lug of genomic DNA and the alternative conversion protocol (a two temperature DNA denaturation).
Quantitative Methylation Analysis
Sequenom's MassARRAY® System was used to perform quantitative methylation analysis. This system utilizes matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry in combination with RNA base specific cleavage (Sequenom® MassCLEAVE™). A detectable pattern is then analyzed for methylation status. PCR primers were designed using Sequenom® EpiDESIGNER™
(www.epidesigner.com). A total of 261 amplicons, covering 85 target regions, were used for validation (median amplification length = 367 bp, min = 108, max = 500; median number of CpG's per amplicon =23, min = 4, max = 65). For each reverse primer, an additional T7 promoter tag for in-vivo transcription was added, as well as a lOmer tag on the forward primer to adjust for melting temperature differences. The MassCLEAVE(tm) biochemistry was performed as previously described (Ehrich M, et al. (2005) Quantitative high-throughput analysis of DNA methylation patterns by base specific cleavage and mass spectrometry. Proc Natl Acad Sci U S A 102:15785-15790). Mass spectra were acquired using a
MassARRAY™ Compact MALDI-TOF (Sequenom®, San Diego) and methylation ratios were generated by the EpiTYPER™ software vl.O (Sequenom®, San Diego). Statistical analysis
All statistical calculations were performed using the statistical software package (www.r-project.org). First, the array probes were grouped based on their genomic location. Subsequent probes that were less than 1000 bp apart were grouped together. To identify differentially methylated regions, a control sample was used as reference. In the control sample, the methylated fraction of a blood derived control DNA was hybridized against itself. Ideally this sample should show log ratios of the two color channels around 0. However because of the variability in hybridization behavior, the probes show a mean log ratio of 0.02 and a standard deviation of 0.18. Next the log ratios observed in our samples were compared to the control sample. A two way, paired t-test was used to test the NULL hypothesis that the groups are identical. Groups that contained less than 4 probes were excluded from the analysis. For groups including four or five probes, all probes were used in a paired t-test. For Groups with six or more probes, a sliding window test consisting of five probes at a time was used, whereby the window was moved by one probe increments. Each test sample was compared to the control sample and the p- values were recorded. Genomic regions were selected as being differentially methylated if eight out of ten samples showed a p value < 0.01, or if six out of ten samples showed a p value < 0.001. The genomic regions were classified as being not differentially methylated when the group showed less than eight samples with a p value < 0.01 and less than six samples with a p value < 0.001. Samples that didn't fall in either category were excluded from the analysis. For a subset of genomic regions that have been identified as differentially methylated, the results were confirmed using quantitative methylation analysis.
The Go analysis was performed using the online GOstat tool (https://gostat.wehi.edu.au/cgibin/- goStat.pl). P values were calculated using Fisher's exact test.
Microarray-based marker discovery results
To identify differentially methylated regions a standard sample was used, in which the methylated DNA fraction of monocytes was hybridized against itself. This standard provided a reference for the variability of fluorescent measurements in a genomic region. Differentially methylated regions were then identified by comparing the log ratios of each of the ten placental/maternal samples against this standard. Because the goal of this study was to identify markers that allow the reliable separation of maternal and fetal DNA, the target selection was limited to genes that showed a stable, consistent methylation difference over a contiguous stretch of genomic DNA. This focused the analysis on genomic regions where multiple probes indicated differential methylation. The selection was also limited to target regions where all samples showed differential methylation, excluding those with strong inter- individual differences. Two of the samples showed generally lower log ratios in the microarray analysis. Because a paired test was used for target selection, this did not negatively impact the results.
Based on these selection criteria, 3043 genomic regions were identified that were differentially methylated between maternal and fetal DNA. 21778 regions did not show a methylation difference. No inter-chromosomal bias in the distribution of differentially methylated regions was observed. The differentially methylated regions were located next to or within 2159 known genes. The majority of differentially methylated regions are located in the promoter area (18%) and inside the coding region (68%), while only few regions are located downstream of the gene (7%) or at the transition from promoter to coding region (7%). Regions that showed no differential methylation showed a similar distribution for promoter (13%) and downstream (5%) locations, but the fraction of regions located in the transition of promoter to coding region was higher (39%) and the fraction inside the coding region was lower (43%).
It has been shown in embryonic stem cells (ES) that genes targeted by the polycomb repressive complex2 (PRC2) are enriched for genes regulating development (Lee Tl, et al. (2006) Control of developmental regulators by Polycomb in human embryonic stem cells. Cell 125:301-313). It has also been shown that differentially methylated genes are enriched for genes targeted by PRC2 in many cancer types (Ehrich M, et al. (2008) Cytosine methylation profiling of cancer cell lines. Proc Natl Acad Sci U S A 105:4844-48). The set of genes identified as differentially methylated in this study is also enriched for genes targeted by PRC2 (p-value < 0.001, odds ratio = 3.6, 95% CI for odds ratio= 3.1 - 4.2). A GO analysis of the set of differentially methylated genes reveals that this set is significantly enriched for functions important during development. Six out of the ten most enriched functions include developmental or morphogenic processes [anatomical structure morphogenesis (GO:0009653, p value =0), developmental process (GO:0032502, p value = 0), multicellular organismal development
(GO:0007275, p value = 0), developmental of an organ (GO:0048513, p value = 0), system development (GO:0048731, p value = 0) and development of an anatomical structure (GO:0048856, p value = 0)].
Validation using Sequenom® EpiTYPER™
To validate the microarray findings, 63 regions from chromosomes 13, 18 and 21 and an additional 26 regions from other autosomes were selected for confirmation by a different technology. Sequenom EpiTYPER™ technology was used to quantitatively measure DNA methylation in maternal and placental samples. For an explanation of the EpiTYPER™ methods, see Ehrich M, Nelson MR, Stanssens P, Zabeau M, Liloglou T, Xinarianos G, Cantor CR, Field JK, van den Boom D (2005) Quantitative high-throughput analysis of DNA methylation patterns by base specific cleavage and mass spectrometry. Proc Natl Acad Sci U S A 102:15785-15790). For each individual CpG site in a target region the average methylation value across all maternal DNA samples and across all placenta samples was calculated. The difference between average maternal and placenta methylation was then compared to the microarray results. The results from the two technologies were in good concordance (see Figure7). For 85 target regions the quantitative results confirm the microarray results (95% confirmation rate). For 4 target regions, all located on chromosome 18, the results could not be confirmed. The reason for this discrepancy is currently unclear.
In contrast to microarrays, which focus on identification of methylation differences, the quantitative measurement of DNA methylation allowed analysis of absolute methylation values. In the validation set of 85 confirmed differentially methylated regions, a subset of 26 regions is more methylated in the maternal DNA sample and 59 regions are more methylated in the placental sample (see Table 1A). Interestingly, genes that are hypomethylated in the placental samples tend to show larger methylation differences than genes that are hypermethylated in the placental sample (median methylation difference for hypomethylated genes = 39%, for hypermethylated genes = 20%).
Example 2
Example 2 describes a non-invasive approach for detecting the amount of fetal nucleic acid present in a maternal sample (herein referred to as the "Fetal Quantifier Method"), which may be used to detect or confirm fetal traits (e.g., fetal sex of hD compatibility), or diagnose chromosomal abnormalities such as Trisomy 21 (both of which are herein referred to as the "Methylation-Based Fetal Diagnostic Method"). Figure 10 shows one embodiment of the Fetal Quantifier Method, and Figure 11 shows one
embodiment of the Methylation-Based Fetal Diagnostic Method. Both processes use fetal DNA obtained from a maternal sample. The sample comprises maternal and fetal nucleic acid that is differentially methylated. For example, the sample may be maternal plasma or serum. Fetal DNA comprises approximately 2-30% of the total DNA in maternal plasma. The actual amount of fetal contribution to the total nucleic acid present in a sample varies from pregnancy to pregnancy and can change based on a number of factors, including, but not limited to, gestational age, the mother's health and the fetus' health.
As described herein, the technical challenge posed by analysis of fetal DNA in maternal plasma lies in the need to be able to discriminate the fetal DNA from the co-existing background maternal DNA. The methods of the present invention exploit such differences, for example, the differential methylation that is observed between fetal and maternal DNA, as a means to enrich for the relatively small percentage of fetal DNA present in a sample from the mother. The non-invasive nature of the approach provides a major advantage over conventional methods of prenatal diagnosis such as, amniocentesis, chronic villus sampling and cordocentesis, which are associated with a small but finite risk of fetal loss. Also, because the method is not dependent on fetal cells being in any particular cell phase, the method provides a rapid detection means to determine the presence and also the nature of the chromosomal abnormality. Further, the approach is sex-independent (i.e., does not require the presence of a Y-chromosome) and polymorphic-independent (i.e., an allelic ratio is not determined). Thus, the compositions and methods of the invention represent improved universal, noninvasive approaches for accurately determining the amount of fetal nucleic acid present in a maternal sample.
Assay design and advantages
There is a need for accurate detection and quantification of fetal DNA isolated noninvasively from a maternal sample. The present invention takes advantage of the presence of circulating, cell free fetal nucleic acid (ccfDNA) in maternal plasma or serum. In order to be commercially and clinically practical, the methods of the invention should only consume a small portion of the limited available fetal DNA. For example, less than 50%, 40%, 30%, 25%, 20%, 15%, 10%, 5% or less of the sample. Further, the approach should preferably be developed in a multiplex assay format in which one or more (preferably all) of the following assays are included: • Assays for the detection of total amount of genomic equivalents present in the sample, i.e., assays recognizing both maternal and fetal DNA species;
• Assays for the detection of fetal DNA isolated from a male pregnancy, i.e., sequences specific for chromosome Y;
• Assays specific for regions identified as differentially methylated between the fetus and mother; or
• Assays specific for regions known to be hypomethylated in all tissues to be investigated, which can serve as a control for restriction efficiency.
Other features of the assay may include one or more of the following:
• For each assay, a target-specific, competitor oligonucleotide that is identical, or substantially identical, to the target sequence apart from a distinguishable feature of the competitor, such as a difference in one or more nucleotides relative to the target sequence. This oligonucleotide when added into the PC reaction will be co-amplified with the target and a ratio obtained between these two PCR amplicons will indicate the number of target specific DNA sequences (e.g., fetal DNA from a specific locus) present in the maternal sample.
• The amplicon lengths should preferably be of similar length in order not to skew the
amplification towards the shorter fragments. However, as long as the amplification efficiency is about equal, different lengths may be used.
• Differentially methylated targets can be selected from Tables 1A-1C or from any other targets known to be differentially methylated between mother and fetus. These targets can be hypomethylated in DNA isolated from non-pregnant women and hypermethylated in samples obtained from fetal samples. These assays will serve as controls for the restriction efficiency.
• The results obtained from the different assays can be used to quantify one or more of the
following:
o Total number of amplifiable genomes present in the sample (total amount of genomic equivalents);
o The fetal fraction of the amplifiable genomes (fetal concentration or percentage); or o Differences in copy number between fetally-derived DNA sequences (for example, between fetal chromosome 21 and a reference chromosome such as chromosome 3).
Examples of assays used in the test
Below is an outline of the reaction steps used to perform a method of the invention, for example, as provided in Figure 10. This outline is not intended to limit the scope of the invention. Rather it provides one embodiment of the invention using the Sequenom® MassARRAY® technology. DNA isolation from plasma samples.
Digestion of the DNA targets using methylation sensitive restriction enzymes (for example, Hhal and Hpall).
For each reaction the available DNA was mixed with water to a final volume of 25 ul.
10 ul of a reaction mix consisting of 10 units Hhal, 10 units Hpall and a reaction buffer were added. The sample was incubated at an optimal temperature for the restriction enzymes. Hhal and Hpall digest non-methylated DNA (and will not digest hemi- or completely methylated DNA). Following digestion, the enzymes were denatured using a heating step.
Genomic Amplification- PCR was performed in a total volume of 50 ul by adding PCR reagents (Buffer, dNTPs, primers and polymerase). Exemplary PCR and extend primers are provided below. In addition, synthetic competitor oligonucleotide was added at known concentrations.
Replicates (optional) - Following PCR the 50 ul reaction was split into 5 ul parallel reactions (replicates) in order to minimize variation introduced during the post PCR steps of the test. Post PCR steps include SAP, primer extension (MassEXTEND® technology), resin treatment, dispensing of spectrochip and MassARRAY.
Quantification of the Amplifiable Genomes - Sequenom MassARRAY® technology was used to determine the amount of amplification product for each assay. Following PCR, a single base extension assay was used to interrogate the amplified regions (including the competitor oligonucleotides introduced in step 3). Specific extend primers designed to hybridize directly adjacent to the site of interest were introduced. See extend primers provided below. These DNA oligonucleotides are referred to as iPLEX® MassEXTEND® primers. In the extension reaction, the iPLEX primers were hybridized to the complementary DNA templates and extended with a DNA polymerase. Special termination mixtures that contain different combinations of deoxy- and dideoxynucleotide triphosphates along with enzyme and buffer, directed limited extension of the iPLEX primers. Primer extension occurs until a complementary
dideoxynucleotide is incorporated.
The extension reaction generated primer products of varying length, each with a unique molecular weight. As a result, the primer extension products can be simultaneously separated and detected using Matrix Assisted Laser Desorption/lonization, Time-Of-Flight (MALDI-TOF) mass spectrometry on the MassARRAY® Analyzer Compact. Following this separation and detection, SEQUENOM's proprietary software automatically analyzes the data.
Calculating the amount and concentration of fetal nucleic acid - Methods for calculating the total amount of genomic equivalents present in the sample, the amount (and concentration) of fetal nucleic acid isolated from a male pregnancy, and the amount (and concentration) of fetal nucleic based on differentially methylated targets are provided below and in Figures 18 and 19. The above protocol can be used to perform one or more of the assays described below. In addition to the sequences provided immediately below, a multiplex scheme that interrogates multiple targets is provided in Table X below.
1) Assay for the quantification of the total number of amplifiable genomic equivalents in the sample.
Targets were selected in housekeeping genes not located on the chromosomes 13, 18, 21, X or Y. The targets should be in a single copy gene and not contain any recognition sites for the methylation sensitive restriction enzymes.
Underlined sequences are PCR primer sites, italic is the site for the single base extend primer and bold letter (C) is the nucleotide extended on human DNA
ApoE Chromosome 19:45409835-45409922 DNA target sequence with interrogated nucleotide C in bold. All of the chromosome positions provided in this section are from the February 2009 UCSC Genome Build.
GATTGACAGTTTCTCCTTCCCCAGACTGGCCAATCACAGGC4GG \ \G \rG \ \GGrrCTGTGGGCTGCGTTGCT GGTCACATTCCTGGC
ApoE Forward Primer: 5'-ACGTTGGATG-TTGACAGTTTCTCCTTCCCC (Primer contains a 5' 10 bp MassTag separated by a dash)
ApoE Reverse Primer: 5'-ACGTTGGATG-GAATGTGACCAGCAACGCAG (Primer contains a 5' 10 bp MassTag separated by a dash)
ApoE Extension Primer: 5'-GCAGGAAGATGAAGGTT [C/T] Primer extends C on human DNA targets and T on synthetic DNA targets
ApoE synthetic competitor oligonucleotide: 5'-
GATTGACAGTTTCTCCTTCCCCAGACTGGCCAATCACAGGCAGGAAGATGAAGGTTTTGTGGGCTGCGTTGCT GGTCACATTCCTGGC (Bold T at position 57 is different from human DNA)
2) Assay for the quantification of the total number of chromosome Y sequences in the sample.
Targets specific for the Y-chromosome were selected, with no similar or paralog sequences elsewhere in the genome. The targets should preferably be in a single copy gene and not contain any recognition sites for the methylation sensitive restriction enzyme(s).
Underlined sequences are PCR primer sites, and italic nucleotide(s) is the site for the single-base extend primer and bold letter (C) is the nucleotide extended on human DNA.
SRY on chrY:2655628-2655717 (reverse complement)
GAGTTTTGGATAGTAAAATAAGTTTCGAACTCTGGCACC TTTCAA TTTTGTCGCA C7"CTCCTTGTTTTTGACAAT GCAATCATATGCTTC SRY Forward Primer: 5'-ACG-TGGATAGTAAAATAAGTTTCGAACTCTG (Primer contains a 5' 3 bp MassTag separated by a dash)
SRY Reverse Primer: 5'- GAAGCATATGATTGCATTGTCAAAAAC
SRY Extension Primer: 5'-aTTTCAATTTTGTCGCACT [C/T] Primer extends C on human DNA targets and T on synthetic DNA targets. 5' Lower case "a" is a non-complementary nucleotide
SRY synthetic competitor oligonucleotide: 5'-
GAGTTTTGGATAGTAAAATAAGTTTCGAACTCTGGCACCTTTCAATTTTGTCGCACTTTCCTTGTTTTTGACAAT GCAATCATATGCTTC
3) Assay for the quantification of fetal methylated DNA sequences present in the sample.
Targets were selected in regions known to be differentially methylated between maternal and fetal DNA. Sequences were selected to contain several restriction sites for methylation sensitive enzymes. For this study the Hhal (GCGC) and Hpall (CCGG) enzymes were used.
Underlined sequences are PCR primer sites, italic is the site for the single base extend primer and bold letter (C) is the nucleotide extended on human DNA, lower case letter are recognition sites for the methylation sensitive restriction enzymes.
TBX3 on chrl2:115124905-115125001
GAACTCCTCTTTGTCTCTGCGTGCccggcgcgcCCCCCrCccaarGGGrGAr \ \ \CCCACTCTGgcgccggCCATgcgc TGGGTGATTAATTTGCGA
TBX3 Forward Primer: 5'- ACGTTGGATG-TCTTTGTCTCTGCGTGCCC (Primer contains a 5' 10 bp MassTag separated by a dash)
TBX3 Reverse Primer: 5'- ACGTTGGATG-TTAATCACCCAGCGCATGGC (Primer contains a 5' 10 bp MassTag separated by a dash)
TBX3 Extension Primer: 5'- CCCCTCCCGGTGGGTGATAAA [C/T] Primer extends C on human DNA targets and T on synthetic DNA targets. 5' Lower case "a" is a non-complementary nucleotide
TBX3 synthetic competitor oligonucleotide: 5'-
GAACTCCTCTTTGTCTCTGCGTGCCCGGCGCGCCCCCCTCCCGGTGGGTGATAAATCCACTCTGGCGCCGGCC ATG CG CTG G GTG ATT AATTTG CG A
4) Control Assay for the enzyme restriction efficiency.
Targets were selected in regions known not to be methylated in any tissue to be investigated.
Sequences were selected to contain no more than one site for each restriction enzyme to be used.
Underlined sequences are PCR primer sites, italic nucleotide(s) represent the site for the single-base extend primer and bold letter (G) is the reverse nucleotide extended on human DNA, lower case letter are recognition sites for the methylation sensitive restriction enzymes. CACNA1G chrl7:48637892-48637977 (reverse complement)
CCATTGGCCGTCCGCCGTGGCAGTGCGGGCGGGAgcgcAGGG \G \G \ \CC4C4GCrGG \ \rCCGATTCCCAC CCCAAAACCCAGGA
Hhal Forward Primer: 5'- ACGTTGGATG-CCATTGGCCGTCCGCCGTG (Primer contains a 5' 10 bp MassTag separated by a dash)
Hhal Reverse Primer: 5'- ACGTTGGATG-TCCTGGGTTTTGGGGTGGGAA (Primer contains a 5' 10 bp MassTag separated by a dash)
Hhal Extension Primer: 5'- TTCCAGCTGTGGTTCTCTC
Hhal synthetic competitor oligonucleotide: 5'-
CCATTGGCCGTCCGCCGTGGCAGTGCGGGCGGGAGCGCAGAG>AG/ GAACCACAGCrGGAArCCGATTCCCA CCCCAAAACCCAGGA
Validation experiments
The sensitivity and accuracy of the present invention was measured using both a model system and clinical samples. In the different samples, a multiplex assay was run that contains 2 assays for total copy number quantification, 3 assays for methylation quantification, 1 assay specific for chromosome Y and 1 digestion control assay. See Table X. Another multiplex scheme with additional assays is provided in Table Y.
TABLE X: PC Primers and Extend Primers
Figure imgf000055_0001
TABLE X: Competitor Oligonucleotide Sequence
Figure imgf000055_0002
TABLE Y: PCR Primers and Extend Primers
Figure imgf000055_0003
Figure imgf000056_0001
TABLE Y: Competitor Oligonucleotide Sequence
Figure imgf000056_0002
T=Assay for Total Amount
M=Assay for Methylation quantification
Y= Y-Chromosome Specific Assay
D=Digestion control
Model system using genomic DNA
In order to determine the sensitivity and accuracy of the method when determining the total number of amplifiable genomic copies in a sample, a subset of different DNA samples isolated from the blood of non-pregnant women was tested. Each sample was diluted to contain approximately 2500, 1250, 625 or 313 copies per reaction. The total number of amplifiable genomic copies was obtained by taking the mean DNA/competitor ratio obtained from the three total copy number assays. The results from the four different samples are shown in Figure 12.
To optimize the reaction, a model system was developed to simulate DNA samples isolated from plasma. These samples contained a constant number of maternal non-methylated DNA and were spiked with different amounts of male placental methylated DNA. The samples were spiked with amounts ranging from approximately 0 to 25% relative to the maternal non-methylated DNA. The results are shown in Figures 13A and B. The fraction of placental DNA was calculated using the ratios obtained from the methylation assays (Figure 13A), the S Y markers (Figure 13B) and the total copy number assays. The primer sequences for the methylation assays (TBX), Y-chromosome assays (SRY) and total copy number (APOE) are provided above. The model system demonstrated that the methylation-based method performed equal to the Y-chromosome method (SRY markers), thus validating the methylation- based method as a sex-independent fetal quantifier.
Plasma samples
To investigate the sensitivity and accuracy of the methods in clinical samples, 33 plasma samples obtained from women pregnant with a male fetus were investigated using the multiplex scheme from Table X. For each reaction, a quarter of the DNA obtained from a 4ml extraction was used in order to meet the important requirement that only a portion of the total sample is used.
Total copy number quantification
The results from the total copy number quantification can be seen in Figures 14A and B. In Figure 14A, the copy number for each sample is shown. Two samples (nos. 25 and 26) have a significantly higher total copy number than all the other samples. In general, a mean of approximately 1300 amplifiable copies/ml plasma was obtained (range 766-2055). Figure 14B shows a box-and-whisker plot of the given values, summarizing the results.
Correlation between results obtained from the methylation markers and the Y-chromosome marker
In Figures 15A and B, the numbers of fetal copies for each sample are plotted. As all samples were from male pregnancies. The copy numbers obtained can be calculated using either the methylation or the Y- chromosome-specific markers. As can be seen in Figure 15B, the box-and-whisker plot of the given values indicated minimal difference between the two different measurements.
The results showing the correlation between results obtained from the methylation markers and the Y- chromosome marker (SRY) is shown in Figure 16. Again, the methylation-based method performed equal to the Y-chromosome method (SRY markers), further validating the methylation-based method as a sex-independent and polymorphism-independent fetal quantifier. The multiplexed assays disclosed in Table X were used to determine the amount fetal nucleic.
Finally, the digestion efficiency was determined by using the ratio of digestion for the control versus the competitor and comparing this value to the mean total copy number assays. See Figure 17. Apart from sample 26 all reactions indicate the efficiency to be above 99%.
Data Analysis
Mass spectra analysis was done using Typer 4 (a Sequenom software product). The peak height (signal over noise) for each individual DNA analyte and competitor assay was determined and exported for further analysis.
The total number of molecules present for each amplicon was calculated by dividing the DNA specific peak by the competitor specific peak to give a ratio. (The "DNA" Peak in Figures 18 and 19 can be thought of as the analyte peak for a given assay). Since the number of competitor molecules added into the reaction is known, the total number of DNA molecules can be determined by multiplying the ratio by the number of added competitor molecules.
The fetal DNA fraction (or concentration) in each sample was calculated using the Y-chromosome- specific markers for male pregnancies and the mean of the methylated fraction for all pregnancies. In brief, for chromosome Y, the ratio was obtained by dividing the analyte (DNA) peak by the competitor peak and multiplying this ratio by the number of competitor molecules added into the reaction. This value was divided by a similar ratio obtained from the total number of amplifiable genome equivalents determination (using the Assay(s) for Total Amount). See Figure 18. Since the total amount of nucleic acid present in a sample is a sum of maternal and fetal nucleic acid, the fetal contribution can be considered to be a fraction of the larger, background maternal contribution. Therefore, translating this into the equation shown in Figure 18, the fetal fraction (k) of the total nucleic acid present in the sample is equal to the equation: k=2xR/(l-2R), where R is the ratio between the Y-chromosome amount and the total amount. Since the Y-chromosome is haploid and Assays for the Total Amount are determined using diploid targets, this calculation is limited to a fetal fraction smaller than 50% of the maternal fraction.
In Figure 19, a similar calculation for the fetal concentration is shown by using the methylation specific markers (see Assays for Methylation Quantification). In contrast to Y-chromosome specific markers, these markers are from diploid targets, therefore, the limitations stated for the Y-Chromosome Specific Assay can be omitted. Thus, the fetal fraction (k) can be determined using the equation: k=R(l-R), where R is the ratio between the methylation assay and the total assay.
Simulation
A first simple power calculation was performed that assumes a measurement system that uses 20 markers from chromosome 21, and 20 markers from one or more other autosomes. Starting with 100 copies of fetal DNA, a measurement standard deviation of 25 copies and the probability for a type I error to be lower than 0.001, it was found that the methods of the invention will be able to differentiate a diploid from a triploid chromosome set in 99.5% of all cases. The practical implementation of such an approach could for example be achieved using mass spectrometry, a system that uses a competitive PCR approach for absolute copy number measurements. The method can run 20 assays in a single reaction and has been shown to have a standard deviation in repeated measurements of around 3 to 5%. This method was used in combination with known methods for differentiating methylated and non- methylated nucleic acid, for example, using methyl-binding agents to separate nucleic acid or using methylation-sensitive enzymes to digest maternal nucleic acid. Figure 8 shows the effectiveness of MBD- FC protein (a methyl-binding agent) for capturing and thereby separating methylated DNA in the presence of an excess of unmethylated DNA (see Figure 8).
A second statistical power analysis was performed to assess the predictive power of an embodiment of the Methylation-Based Fetal Diagnostic Method described herein. The simulation was designed to demonstrate the likelihood of differentiating a group of trisomic chromosome 21 specific markers from a group of reference markers (for example, autosomes excluding chromosome 21). Many parameters influence the ability to discriminate the two populations of markers reliably. For the present simulation, values were chosen for each parameter that have been shown to be the most likely to occur based on experimentation. The following parameters and respective values were used:
Copy Numbers
Maternal copy numbers = 2000
Fetal copy numbers for chromosomes other than 21, X and Y = 200
Fetal copy numbers for chromosome 21 in case of euploid fetus = 200
Fetal copy numbers for chromosome 21 in case of aneuploid T21 fetus = 300
Percent fetal DNA (before methylation-based enrichment) = 10% (see above)
Methylation Frequency
Average methylation percentage in a target region for maternal DNA = 10%
Average methylation percentage in a target region for fetal DNA = 80%
Average percentage of non-methylated and non-digested maternal DNA (i.e., a function of restriction efficiency (among other things) = 5%
Number of assays targeting chromosome 21 = 10
Number of assays targeting chromosomes other than 21, X and Y = 10 The results are displayed in Figure 20. Shown is the relationship between the coefficient of variation (CV) on the x-axis and the power to discriminate the assay populations using a simple t-test (y-axis). The data indicates that in 99% of all cases, one can discriminate the two population (euploid vs. aneuploid) on a significance level of 0.001 provided a CV of 5% or less. Based on this simulation, the method represents a powerful noninvasive diagnostic method for the prenatal detection of fetal aneuploidy that is sex-independent and will work in all ethnicities (i.e., no allelic bias).
Example 3 - Additional Differentially-Methylated Targets
Differentially-methylated targets not located on chromosome 21
Additional differentially-methylated targets were selected for further analysis based upon previous microarray analysis. See Example 1 for a description of the microarray analysis. During the microarray screen, differentially methylated regions (DM s) were defined between placenta tissue and PBMC. Regions were selected for EpiTYPER confirmation based upon being hypermethylated in placenta relative to PBMC. After directionality of the change was selected for, regions were chosen based upon statistical significance with regions designed beginning with the most significant and working downward in terms of significance. These studies were performed in eight paired samples of PBMC and placenta. Additional non-chromosome 21 targets are provided in Table IB, along with a representative genomic sequence from each target in Table 4B.
Differentially-methylated targets located on chromosome 21
The microarray screen uncovered only a subset of DMRs located on chromosome 21. The coverage of chromosome 21 by the microarray, however, was insufficient. Therefore a further analysis was completed to examine all 356 CpG islands on chromosome 21 using the standard settings of the UCSC genome browser. As shown in Table 1C below, some of these targets overlapped with those already examined in Table 1A. More specifically, CpG sites located on chromosome 21 including ~1000bp upstream and downstream of each CpG was investigated using Sequenom's EpiTYPER® technology. See Example 1, "Validation using Sequenom9 EpiTYPER™" for a description of Sequenom's EpiTYPER® technology. These studies were performed in eight paired samples of PBMC and placenta. In addition, since DMRs may also be located outside of defined CpG islands, data mining was performed on publicly available microarray data to identify potential candidate regions with the following characteristics: hypermethylated in placenta relative to maternal blood, not located in a defined CpG island, contained greater than 4 CpG dinucleotides, and contained a recognition sequence for methylation sensitive restriction enzymes. Regions that met these criteria were then examined using Sequenom's EpiTYPER® technology on eight paired PBMC and placenta samples. Additional chromosome 21 targets are provided in Table 1C, along with a representative genomic sequence from each target in Ta ble 4C. Tables IB and 1C provide a description of the different targets, including their location and whether they were analyzed during the different phases of analysis, namely microarray analysis, EpiTYPER 8 analysis and EpiTYPER 73 analysis. A "YES" indicates it was analyzed and a "NO" indicates it was not analyzed. The definition of each column in Table IB and 1C is listed below.
• Region Name: Each region is named by the gene(s) residing within the area defined or nearby.
Regions where no gene name is listed but rather only contain a locus have no refseq genes in near proximity.
• Gene Region: For those regions contained either in close proximity to or within a gene, the gene region further explains the relationship of this region to the nearby gene.
• Chrom: The chromosome on which the DMR is located using the hgl8 build of the UCSC genome browser.
• Start: The starting position of the DM R as designated by the hgl8 build of the UCSC genome browser.
• End: The ending position of the DM R as designated by the hgl8 build of the UCSC genome
browser.
• Microarray Analysis: Describes whether this region was also/initially determined to be
differentially methylated by microarray analysis. The methylated fraction of ten paired placenta and PBMC samples was isolated using the MBD-Fc protein. The two tissue fractions were then labeled with either Alexa Fluor 555-aha-dCTP (PBMC) or Alexa Fluor 647-aha-dCTP (placental) using the BioPrime Total Genomic Labeling System™ and hybridized to Agilent® CpG Island microarrays. Many regions examined in these studies were not contained on the initial microarray.
• EpiTYPER 8 Samples: Describes whether this region was analyzed and determined to be
differentially methylated in eight paired samples of placenta and peripheral blood mononuclear cells (PBMC) using EpiTYPER technology. Regions that were chosen for examination were based on multiple criteria. First, regions were selected based on data from the Microarray Analysis. Secondly, a comprehensive examination of all CpG islands located on chromosome 21 was undertaken. Finally, selected regions on chromosome 21 which had lower CpG frequency than those located in CpG islands were examined.
• EpiTYPER 73 Samples: Describes whether this region was subsequently analyzed using EpiTYPER technology in a sample cohort consisting of 73 paired samples of placenta and PBMC. All regions selected for analysis in this second sample cohort were selected based on the results from the experimentation described in the EpiTYPER 8 column. More specifically, the regions in this additional cohort exhibited a methylation profile similar to that determined in the EpiTYPER 8 Samples analysis. For example, all of the regions listed in Tables 1B-1C exhibit different levels of DNA methylation in a significant portion of the examined CpG dinucleotides within the defined region. Differential DNA methylation of CpG sites was determined using a paired T Test with those sites considered differentially methylated if the p-value (when comparing placental tissue to PBMC) is p<0.05.
• Previously Validated EpiTYPER: Describes whether this region or a portion of this region was validated using EpiTYPER during previous experimentation. (See Examples 1 and 2).
• Relative Methylation Placenta to Maternal: Describes the direction of differential methylation.
Regions labeled as "hypermethylation" are more methylated within the designated region in placenta samples relative to PBMC and "hypomethylation" are more methylated within the designated region in PBMC samples.
TABLE 1A
MEAN MEAN MEAN METHY¬
RELATIVE LOG MATERNAL PLACENTA LATION METHYLATION
GENE NAME CHROM START END CpG ISLAND RATIO METHYMETHYDIFFERENCE
PLACENTA TO MICRO- LATION LATION PLACENTA- MATERNAL ARRAY EPITYPER EPITYPER MATERNAL
chr13: 19773518- chr13 group00016 chr13 19773745 19774050 0.19 0.22 0.32 0.1 HYPERMETHYLATION
19774214
chr13 group00005 chr13 19290394 19290768 :- -0.89 0.94 0.35 -0.59 HYPOMETHYLATION chr13: 19887007-
CRYL1 chr13 19887090 19887336 -0.63 0.74 0.21 -0.53 HYPOMETHYLATION
19887836
chr13:2019361 1 -
IL17D chr13 20193675 20193897 -1.01 0.53 0.13 -0.39 HYPOMETHYLATION
20194438
CENPJ chr13 24404023 24404359 :- 0.57 0.17 0.49 0.32 HYPERMETHYLATION chrl 3:25484287-
ATP8A2 chr13 25484475 25484614 0.81 0.16 0.43 0.27 HYPERMETHYLATION
25484761
chrl 3:27264549-
GSH1 chr13 27265542 27265834 0.57 0.13 0.19 0.05 HYPERMETHYLATION
27266505
chr13:27392001 -
PDX1 chr13 27393789 27393979 0.55 0.06 0.2 0.14 HYPERMETHYLATION
27394099
chrl 3:27400362-
27400744;
PDX1 chr13 27400459 27401 165 0.73 0.12 0.26 0.14 HYPERMETHYLATION chrl 3:27401057-
27401374
chrl 3:34947570-
MAB21 L1 chr13 34947737 34948062 0.66 0.1 1 0.17 0.06 HYPERMETHYLATION
34948159
chrl 3:47790636-
RB1 chr13 47790983 47791646 0.18 0.45 0.48 0.03 HYPERMETHYLATION
47791858
chrl 3:57104527-
PCDH17 chr13 57104856 57106841 0.46 0.15 0.21 0.06 HYPERMETHYLATION
57106931
chrl 3:69579733-
KLHL1 chr13 69579933 69580146 0.79 0.09 0.28 0.2 HYPERMETHYLATION
69580220
chrl 3:78079328-
78079615;
POU4F1 chr13 78079515 78081073 0.66 0.12 0.23 0.11 HYPERMETHYLATION chrl 3:78080860-
78081881
chrl 3:92677246-
GPC6 chr13 92677402 92678666 0.66 0.06 0.19 0.13 HYPERMETHYLATION
92678878
chrl 3:94152190-
SOX21 chr13 94152286 94153047 0.94 0.16 0.4 0.25 HYPERMETHYLATION
94153185
MEAN MEAN MEAN METHY¬
RELATIVE LOG MATERNAL PLACENTA LATION METHYLATION
GENE NAME CHROM START END CpG ISLAND RATIO METHYMETHYDIFFERENCE
PLACENTA TO MICRO- LATION LATION PLACENTA- MATERNAL ARRAY EPITYPER EPITYPER MATERNAL
chrl 3:99439335-
99440189;
ZIC2 chr13 99439660 99440858 0.89 0.13 0.35 0.22 HYPERMETHYLATION chrl 3:99440775-
99441095
chrl 3: 109232467-
IRS2 chr13 109232856 109235065 -0.17 0.73 0.38 -0.35 HYPOMETHYLATION
109238181
chrl 3: 109716325- chr13 group00350 chr13 109716455 109716604 -0.37 0.77 0.41 -0.36 HYPOMETHYLATION
109716726
chr13: 1 11595459- chr13 group00385 chr13 1 11595578 1 1 1595955 0.87 0.06 0.2 0.14 HYPERMETHYLATION
11 1596131
chr13: 1 11755805- chr13 group00390 chr13 1 11756337 1 1 1756593 0.71 0.12 0.34 0.22 HYPERMETHYLATION
11 1756697
chr13: 1 11757885- chr13 group00391 chr13 1 11759856 1 1 1760045 0.86 0.1 1 0.36 0.25 HYPERMETHYLATION
11 1760666
chr13: 1 11806599- 1 11808492;
chr13 group00395 chr13 1 11808255 1 1 1808962 0.96 0.13 0.35 0.22 HYPERMETHYLATION chr13: 1 11808866- 11 1809114
chr13: 1 12032967- chr13 group00399 chr13 1 12033503 1 12033685 0.38 0.26 0.43 0.18 HYPERMETHYLATION
112033734
chr13: 1 12724782- 1 12725121 ;
MCF2L chr13 1 12724910 1 12725742 -0.47 0.91 0.33 -0.58 HYPOMETHYLATION chr13: 1 12725628- 112725837
chr13: 1 12798487-
F7 chr13 1 12799123 1 12799379 -0.05 0.97 0.55 -0.41 HYPOMETHYLATION
112799566
chr13: 1 12855289-
PROZ chr13 1 12855566 1 12855745 0.29 0.15 0.3 0.16 HYPERMETHYLATION
112855866
chrl 8:6919450- chr18 group00039 chr18 6919797 6919981 -0.38 0.88 0.39 -0.49 HYPOMETHYLATION
6920088
chr18: 12244147-
CIDEA chr18 12244327 12244696 0.23 0.14 0.23 0.1 HYPERMETHYLATION
12245089
chr18: 12901024- chr18 group00091 chr18 12901467 12901643 0.16 0.15 0.43 0.29 HYPERMETHYLATION
12902704
chr18: 13126596- chr18 group00094 chr18 13126819 13126986 0.41 0.07 0.34 0.27 HYPERMETHYLATION
13127564
C18orf1 chr18 13377536 13377654 chrl 8:13377385- -0.12 0.95 0.69 -0.26 HYPOMETHYLATION
MEAN MEAN MEAN METHY¬
RELATIVE LOG MATERNAL PLACENTA LATION METHYLATION
GENE NAME CHROM START END CpG ISLAND RATIO METHYMETHYDIFFERENCE
PLACENTA TO MICRO- LATION LATION PLACENTA- MATERNAL ARRAY EPITYPER EPITYPER MATERNAL
13377686
chrl 8:28603688-
KLHL14 chr18 28603978 28605183 0.83 0.07 0.19 0.12 HYPERMETHYLATION
28606300
chr18:41671386-
CD33L3 chr18 41671477 4167301 1 -0.34 0.49 0.44 -0.05 HYPOMETHYLATION
41673101
chrl 8:53170705-
ST8SIA3 chr18 53171265 53171309 1.02 0.09 0.25 0.16 HYPERMETHYLATION
53172603
chrl 8:53254152-
ONECUT2 chr18 53254808 53259810 0.74 0.09 0.23 0.14 HYPERMETHYLATION
53259851
chrl 8:55085813-
RAX chr18 55086286 55086436 0.88 0.1 1 0.26 0.16 HYPERMETHYLATION
55087807
chr18:57151663- chr18 group00277 chr18 57151972 5715231 1 0.58 0.08 0.21 0.13 HYPERMETHYLATION
57152672
chrl 8:58202849-
TNFRSF11A chr18 58203013 58203282 -0.33 0.88 0.28 -0.6 HYPOMETHYLATION
58203367
chrl 8:68684945-
NET01 chr18 68685099 68687060 0.65 0.09 0.22 0.13 HYPERMETHYLATION
68687851
chrl 8:70133732- chr18 group00304 chr18 70133945 70134397 0.12 0.93 0.92 -0.01 NOT CONFIRMED
70134724
chr18:71 128638-
TSHZ1 chr18 71 128742 71 128974 0.23 0.95 0.92 -0.03 NOT CONFIRMED
71 129076
chrl 8:72662797-
ZNF236 chr18 72664454 72664736 -0.62 0.17 0.1 -0.07 HYPOMETHYLATION
72664893
chrl 8:72953137-
MBP chr18 72953150 72953464 0.6 0.44 0.72 0.28 HYPERMETHYLATION
72953402
chrl 8:74170210- chr18 group00342 chr18 74170347 74170489 -0.2 0.78 0.48 -0.3 HYPOMETHYLATION
74170687
chrl 8:75385279-
NFATC1 chr18 75385424 75386008 0.23 0.14 0.84 0.7 HYPERMETHYLATION
75386532
chrl 8:75596009-
CTDP1 chr18 75596358 75596579 0.07 0.97 0.96 -0.01 NOT CONFIRMED
75596899
chr18 group00430 chr18 75653272 75653621 :- 0.52 0.24 0.62 0.39 HYPERMETHYLATION chrl 8:75759900-
KCNG2 chr18 75760343 75760820 0.01 0.84 0.75 -0.09 NOT CONFIRMED
75760988
chr21 :33316998-
OLIG2 chr21 33317673 33321 183 0.66 0.1 1 0.2 0.09 HYPERMETHYLATION
333221 15
MEAN MEAN MEAN METHY¬
RELATIVE LOG MATERNAL PLACENTA LATION METHYLATION
GENE NAME CHROM START END CpG ISLAND RATIO METHYMETHYDIFFERENCE
PLACENTA TO MICRO- LATION LATION PLACENTA- MATERNAL ARRAY EPITYPER EPITYPER MATERNAL
chr21 :33327447-
OLIG2 chr21 33327593 33328334 -0.75 0.77 0.28 -0.49 HYPOMETHYLATION
33328408
chr21 :35180822- 35181342;
RUNX1 chr21 35180938 35185436 -0.68 0.14 0.07 -0.07 HYPOMETHYLATION chr21 :35182320- 35185557
chr21 :36990063-
SIM2 chr21 36994965 36995298 0.83 0.08 0.26 0.18 HYPERMETHYLATION
36995761
chr21 :36998632-
SIM2 chr21 36999025 36999410 0.87 0.06 0.24 0.18 HYPERMETHYLATION
36999555
chr21 :37299807-
DSCR6 chr21 37300407 37300512 0.22 0.04 0.14 0.11 HYPERMETHYLATION
37301307
chr21 :41 135380-
DSCAM chr21 41135559 41 135706 1.03 0.06 0.29 0.23 HYPERMETHYLATION
41 135816
chr21 :43643322- chr21 group00165 chr21 43643421 43643786 1.14 0.16 0.81 0.65 HYPERMETHYLATION
43643874
chr21 :44529856-
AIRE chr21 44529935 44530388 -0.55 0.62 0.27 -0.35 HYPOMETHYLATION
44530472
chr21 :45061 154-
SUM03 chr21 45061293 45061853 -0.41 0.55 0.46 -0.09 HYPOMETHYLATION
45063386
chr21 :45202706-
C21 orf70 chr21 45202815 45202972 -0.46 0.96 0.51 -0.46 HYPOMETHYLATION
45203073
chr21 :45671933-
C21 orf123 chr21 45671984 45672098 -0.63 0.92 0.43 -0.49 HYPOMETHYLATION
45672201
chr21 :45753653-
COL18A1 chr21 45754383 45754487 -0.18 0.97 0.72 -0.25 HYPOMETHYLATION
45754639
chr21 :46911628-
PRMT2 chr21 4691 1967 46912385 1.08 0.04 0.25 0.21 HYPERMETHYLATION
46912534
chr2:45081 148-
SIX2 chr2 45081223 45082129 1.15 0.08 0.36 0.28 HYPERMETHYLATION
45082287
chr2:45084715- 45084986;
SIX2 chr2 45084851 4508571 1 1.21 0.07 0.35 0.28 HYPERMETHYLATION chr2:45085285- 45086054
chr3:138971738-
SOX14 chr3 138971870 138972322 138972096; 1.35 0.08 0.33 0.25 HYPERMETHYLATION chr3:138972281 -
MEAN MEAN MEAN METHY¬
RELATIVE LOG MATERNAL PLACENTA LATION METHYLATION
GENE NAME CHROM START END CpG ISLAND RATIO METHYMETHYDIFFERENCE
PLACENTA TO MICRO- LATION LATION PLACENTA- MATERNAL ARRAY EPITYPER EPITYPER MATERNAL
138973691 chr5:170674208- 170675356;
TLX3 chr5 170674439 170676431 0.91 0.1 1 0.35 0.24 HYPERMETHYLATION chr5:170675783- 170676712
chr6:41621630-
FOXP4 chr6 41623666 41624114 1.1 0.07 0.27 0.2 HYPERMETHYLATION
41624167
chr6:41636244-
FOXP4 chr6 41636384 41636779 1.32 0.04 0.33 0.29 HYPERMETHYLATION
41636878
chr7:12576690- chr7 group00267 chr7 12576755 12577246 0.94 0.08 0.26 0.17 HYPERMETHYLATION
12577359
chr7:24290083-
NPY chr7 24290224 24291508 0.93 0.09 0.3 0.21 HYPERMETHYLATION
24291605
chr7: 155288453-
SHH chr7 155291537 155292091 0.98 0.19 0.52 0.33 HYPERMETHYLATION
155292175
chr8:100029673-
OSR2 chr8 100029764 100030536 1.21 0.08 0.43 0.35 HYPERMETHYLATION
100030614
chr9:4287817-
GLIS3 chr9 4288283 4289645 1.24 0.06 0.24 0.18 HYPERMETHYLATION
4290182
chrl 2:3470227-
PRMT8 chr12 3472714 3473190 0.86 0.07 0.23 0.16 HYPERMETHYLATION
3473269
chr12: 1 136091 12-
TBX3 chr12 1 13609153 1 13609453 1.45 0.09 0.56 0.48 HYPERMETHYLATION
113609535
chr12: 1 18515877- chr12 group00801 chr12 1 18516189 1 18517435 1.1 0.06 0.25 0.19 HYPERMETHYLATION
118517595
chr14:36200932-
PAX9 chr14 36201402 36202386 0.89 0.1 1 0.32 0.21 HYPERMETHYLATION
36202536
chr14:60178707-
SIX1 chr14 60178801 60179346 0.95 0.1 0.33 0.22 HYPERMETHYLATION
60179539
chr15:74419317-
ISL2 chr15 74420013 74421546 1.08 0.08 0.27 0.19 HYPERMETHYLATION
74422570
chrl 7:45396281 -
DLX4 chr17 45397228 45397930 1.25 0.1 0.32 0.22 HYPERMETHYLATION
45398063
chrl 7:75427586-
CBX4 chr17 75428613 75431793 1 0.07 0.27 0.21 HYPERMETHYLATION
75433676
Figure imgf000068_0001
Information in Table 1A based on the March 2006 human reference sequence (NCBI Build 36.1), which was produced by the International Human Genome Sequencing Consortium.
Table IB: Non-Chromosome 21 differentially methylated regions
Previously
Microarray EpiTYPER EpiTYPER Validated Relative Methylation
Region Name Gene Region Chrom Start End Analysis 8 Samples 73 Samples EpiTYPER Placenta to Maternal
TFAP2E Intron chrl 35815000 35816200 YES YES NO NO Hypermethylation
LRRC8D Intron/Exon chrl 90081350 90082250 YES YES NO NO Hypermethylation
TBX15 Promoter chrl 1 19333500 1 19333700 YES YES NO NO Hypermethylation
C1orf51 Upstream chrl 148520900 148521300 YES YES NO NO Hypermethylation chrl : 179553900-179554600 Intergenic chrl 179553900 179554600 YES YES NO NO Hypermethylation
ZFP36L2 Exon chr2 43304900 43305100 YES YES NO NO Hypermethylation
SIX2 Downstream chr2 45081000 45086000 YES YES NO YES Hypermethylation
Figure imgf000069_0001
Figure imgf000070_0001
Figure imgf000071_0001
Table 1C: Chromosome 21 differentially methylated regions
Figure imgf000071_0002
Previously
Microarray EpiTYPER EpiTYPER Validated Relative Methylation
Region Name Gene Region Chrom Start End Analysis 8 Samples 73 Samples EpiTYPER Placenta to Maternal chr21 14056400-14058100 Intergenic chr21 14056400 14058100 NO YES NO NO Hypomethylation chr21 14070250-14070550 Intergenic chr21 14070250 14070550 NO YES NO NO Hypomethylation chr21 141 19800-14120400 Intergenic chr21 141 19800 14120400 NO YES NO NO Hypomethylation chr21 14304800-14306100 Intergenic chr21 14304800 14306100 NO YES NO NO Hypomethylation chr21 15649340-15649450 Intergenic chr21 15649340 15649450 NO YES YES NO Hypermethylation
C21 orf34 Intron chr21 16881500 16883000 NO YES NO NO Hypomethylation
BTG3 Intron chr21 17905300 17905500 NO YES NO NO Hypomethylation
CHODL Promoter chr21 18539000 18539800 NO YES YES NO Hypermethylation
NCAM2 Upstream chr21 21291500 21292100 NO YES NO NO Hypermethylation chr21 :23574000-23574600 Intergenic chr21 23574000 23574600 NO YES NO NO Hypomethylation chr21 :24366920-24367060 Intergenic chr21 24366920 24367060 NO YES NO NO Hypomethylation chr21 :25656000-25656900 Intergenic chr21 25656000 25656900 NO YES NO NO Hypomethylation
MIR155HG Promoter chr21 25855800 25857200 NO YES YES NO Hypermethylation
CYYR1 Intron chr21 26830750 26830950 NO YES NO NO Hypomethylation chr21 :26938800-26939200 Intergenic chr21 26938800 26939200 NO YES NO NO Hypomethylation
GRIK1 Intron chr21 30176500 30176750 NO YES NO NO Hypomethylation chr21 :30741350-30741600 Intergenic chr21 30741350 30741600 NO YES NO NO Hypermethylation
TIAM1 Intron chr21 31426800 31427300 NO YES YES NO Hypermethylation
TIAM1 Intron chr21 31475300 31475450 NO YES NO NO Hypermethylation
TIAM1 Intron chr21 31621050 31621350 NO YES YES NO Hypermethylation
SOD1 Intron chr21 31955000 31955300 NO YES NO NO Hypomethylation
HUNK Intron/Exon chr21 32268700 32269100 NO YES YES NO Hypermethylation chr21 :33272200-33273300 Intergenic chr21 33272200 33273300 NO YES NO NO Hypomethylation
OLIG2 Promoter chr21 33314000 33324000 YES YES NO YES Hypermethylation
OLIG2 Downstream chr21 33328000 33328500 YES YES NO NO Hypomethylation
RUNX1 Intron chr21 35185000 35186000 NO YES NO NO Hypomethylation
RUNX1 Intron chr21 35320300 35320400 NO YES NO NO Hypermethylation
RUNX1 Intron chr21 35321200 35321600 NO YES NO NO Hypermethylation
Previously
Microarray EpiTYPER EpiTYPER Validated Relative Methylation
Region Name Gene Region Chrom Start End Analysis 8 Samples 73 Samples EpiTYPER Placenta to Maternal
RUNX1 Intron/Exon chr21 35340000 35345000 NO YES YES NO Hypermethylation chr21 :35499200-35499700 Intergenic chr21 35499200 35499700 NO YES YES NO Hypermethylation chr21 :35822800-35823500 Intergenic chr21 35822800 35823500 NO YES YES NO Hypermethylation
CBR1 Promoter chr21 36364000 36364500 NO YES NO NO Hypermethylation
DOPEY2 Downstream chr21 36589000 36590500 NO YES NO NO Hypomethylation
SIM2 Promoter chr21 36988000 37005000 YES YES YES YES Hypermethylation
HLCS Intron chr21 37274000 37275500 YES YES YES NO Hypermethylation
DSCR6 Upstream chr21 37300200 37300400 YES YES NO YES Hypermethylation
DSCR3 Intron chr21 37551000 37553000 YES YES YES NO Hypermethylation chr21 :37841 100-37841800 Intergenic chr21 37841 100 37841800 NO YES YES NO Hypermethylation
ERG Intron chr21 38791400 38792000 NO YES YES NO Hypermethylation chr21 :39278700-39279800 Intergenic chr21 39278700 39279800 NO YES YES NO Hypermethylation
C21 orf129 Exon chr21 42006000 42006250 NO YES YES NO Hypermethylation
C2CD2 Intron chr21 42188900 42189500 NO YES YES NO Hypermethylation
UMODL1 Upstream chr21 42355500 42357500 NO YES YES NO Hypermethylation
UMODL1/C21 orf128 Intron chr21 42399200 42399900 NO YES NO NO Hypomethylation
ABCG1 Intron chr21 42528400 42528600 YES YES NO NO Hypomethylation chr21 :42598300-42599600 Intergenic chr21 42598300 42599600 YES YES NO NO Hypomethylation chr21 :42910000-4291 1000 Intergenic chr21 42910000 42911000 NO YES NO NO Hypomethylation
PDE9A Upstream chr21 42945500 42946000 NO YES NO NO Hypomethylation
PDE9A Intron chr21 42961400 42962700 NO YES NO NO Hypomethylation
PDE9A Intron chr21 42977400 42977600 NO YES NO NO Hypermethylation
PDE9A Intron/Exon chr21 42978200 42979800 YES YES NO NO Hypomethylation
PDE9A Intron chr21 43039800 43040200 NO YES YES NO Hypermethylation chr21 :43130800-43131500 Intergenic chr21 43130800 43131500 NO YES NO NO Hypomethylation
U2AF1 Intron chr21 43395500 43395800 NO YES NO NO Hypermethylation
U2AF1 Intron chr21 43398000 43398450 NO YES YES NO Hypermethylation chr21 :43446600-43447600 Intergenic chr21 43446600 43447600 NO YES NO NO Hypomethylation
Previously
Microarray EpiTYPER EpiTYPER Validated Relative Methylation
Region Name Gene Region Chrom Start End Analysis 8 Samples 73 Samples EpiTYPER Placenta to Maternal
CRYAA Intron/Exon chr21 43463000 43466100 NO YES NO NO Hypomethylation chr21 :43545000-43546000 Intergenic chr21 43545000 43546000 YES YES NO NO Hypomethylation chr21 :43606000-43606500 Intergenic chr21 43606000 43606500 NO YES NO NO Hypomethylation chr21 :43643000-43644300 Intergenic chr21 43643000 43644300 YES YES YES YES Hypermethylation
C21 orf125 Upstream chr21 43689100 43689300 NO YES NO NO Hypermethylation
C21 orf125 Downstream chr21 43700700 43701700 NO YES NO NO Hypermethylation
HSF2BP Intron/Exon chr21 43902500 43903800 YES YES NO NO Hypomethylation
AG PAT 3 Intron chr21 44161 100 44161400 NO YES YES NO Hypermethylation chr21 :44446500-44447500 Intergenic chr21 44446500 44447500 NO YES NO NO Hypomethylation
TRPM2 Intron chr21 44614500 44615000 NO YES NO NO Hypomethylation
C21 orf29 Intron chr21 44750400 44751000 NO YES NO NO Hypomethylation
C21 orf29 Intron chr21 44950000 44955000 NO YES YES NO Hypermethylation
ITGB2 Intron/Exon chr21 45145500 45146100 NO YES NO NO Hypomethylation
POFUT2 Downstream chr21 45501000 45503000 NO YES NO NO Hypomethylation chr21 :45571500-45573700 Intergenic chr21 45571500 45573700 NO YES NO NO Hypomethylation chr21 :45609000-45610600 Intergenic chr21 45609000 45610600 NO YES NO NO Hypomethylation
COL18A1 Intron chr21 45670000 45677000 YES YES NO YES Hypomethylation
COL18A1 Intron/Exon chr21 45700500 45702000 NO YES NO NO Hypomethylation
COL18A1 Intron/Exon chr21 45753000 45755000 YES YES NO YES Hypomethylation chr21 :45885000-45887000 Intergenic chr21 45885000 45887000 NO YES NO NO Hypomethylation
PCBP3 Intron chr21 461 11000 461 14000 NO YES NO NO Hypomethylation
PCBP3 Intron/Exon chr21 46142000 46144500 NO YES NO NO Hypomethylation
COL6A1 Intron/Exon chr21 46227000 46233000 NO YES NO NO Hypomethylation
COL6A1 Intron/Exon chr21 46245000 46252000 NO YES NO NO Hypomethylation chr21 :46280500-46283000 Intergenic chr21 46280500 46283000 NO YES NO NO Hypomethylation
COL6A2 Intron chr21 46343500 46344200 NO YES NO NO Hypomethylation
COL6A2 Intron/Exon chr21 46368000 46378000 NO YES NO NO Hypomethylation
C21 orf56 Intron/Exon chr21 46426700 46427500 NO YES NO NO Hypomethylation
Figure imgf000075_0001
GENE
NAME CHROM START END SNPs
chr13
group00016 chr13 19773745 19774050 rs7996310; rs12870878
chr13
group00005 chr13 19290394 19290768 rs1 1304938
CENPJ chr13 24404023 24404359 rs7326661
ATP8A2 chr13 25484475 25484614 rs61947088
PDX1 chr13 27400459 27401 165 rs58173592; rs55836809; rs6194401 1
RB1 chr13 47790983 47791646 rs2804094; rs4151432; rs4151433; rs4151434; rs4151435
rs35287822; rs34642962; rs41292834; rs45500496; rs45571031 ; rs41292836; rs28374395;
PCDH17 chr13 57104856 57106841 rs41292838
KLHL1 chr13 69579933 69580146 rs3751429
POU4F1 chr13 78079515 78081073 rs1 1620410; rs35794447; rs2765065
GPC6 chr13 92677402 92678666 rs35689696; rs1 1839555; rs55695812; rs35259892
SOX21 chr13 94152286 94153047 rs41277652; rs41277654; rs35276096; rs5805873; rs35109406
ZIC2 chr13 99439660 99440858 rs9585309; rs35501321 ; rs9585310; rs7991728; rs136851 1
rs61747993; rs1805097; rs9583424; rs35927012; rs1056077; rs1056078; rs34889228; rs1056080; rs1056081 ; rs12853546; rs4773092; rs35223808; rs35894564; rs3742210;
IRS2 chr13 109232856 109235065 rs34412495; rs61962699; rs45545638; rs61743905
chr13
group00395 chr13 1 11808255 11 1808962 rs930346
MCF2L chr13 1 12724910 112725742 rs356611 10; rs2993304; rs1320519; rs7320418; rs58416100
F7 chr13 1 12799123 112799379 rs2480951 ; rs2476320
CIDEA chr18 12244327 12244696 rs60132277
chr18
group00091 chr18 12901467 12901643 rs34568924; rs8094284; rs8094285
C18orf1 chr18 13377536 13377654 rs9957861
KLHL14 chr18 28603978 28605183 rs61737323; rs61737324; rs12960414
CD33L3 chr18 41671477 4167301 1 rs62095363; rs2919643
rs35685953; rs61735644; rs8084084; rs35937482; rs35427632; rs7232930; rs3786486; rs34286480; rs3786485; rs28655657; rs4940717; rs4940719; rs3786484; rs34040569;
ONECUT2 chr18 53254808 53259810 rs35542747; rs33946478; rs35848049; rs7231349; rs7231354; rs34481218; rs12962172;
GENE
NAME CHROM START END SNPs
rs391 1641
RAX chr18 55086286 55086436 rs58797899; rs45501496
chr18
group00277 chr18 57151972 57152311 rs17062547
TNFRSF11A chr18 58203013 58203282 rs351 14461
rs4433898; rs34497518; rs35135773; rs6566677; rs57425572; rs36026929; rs34666288; rs10627137; rs35943684; rs9964226; rs4892054; rs9964397; rs4606820; rs12966677;
NET01 chr18 68685099 68687060 rs8095606
chr18
group00304 chr18 70133945 70134397 rs8086706; rs8086587; rs8090367; rs999332; rs17806420; rs5881 1 193
TSHZ1 chr18 71128742 71128974 rs61732783; rs3744910; rs1802180
chr18
group00342 chr18 74170347 74170489 rs7226678
NFATC1 chr18 75385424 75386008 rs28446281 ; rs56384153; rs4531815; rs3894049
chr18
group00430 chr18 75653272 75653621 rs34967079; rs35465647
KCNG2 chr18 75760343 75760820 rs3744887; rs3744886
rs2236618; rs1 1908971 ; rs9975039; rs6517135; rs2009130; rs1005573; rs1122807; rs10653491 ; rs10653077; rs35086972; rs28588289; rs7509766; rs622161 14; rs35561747;
OLIG2 chr21 33317673 33321 183 rs7509885; rs1 1547332
rs7276788; rs7275842; rs7275962; rs7276232; rs16990069; rs13051692; rs56231743;
OLIG2 chr21 33327593 33328334 rs35931056
rs2843956; rs55941652; rs56020428; rs56251824; rs13051109; rs13051 1 1 1 ; rs3833348; rs7510136; rs743289; rs5843690; rs33915227; rs11402829; rs2843723; rs8128138;
RUNX1 chr21 35180938 35185436 rs8131386; rs2843957; rs57537540; rs13048584; rs7281361 ; rs2843965; rs2843958
SIM2 chr21 36994965 36995298 rs2252821
SIM2 chr21 36999025 36999410 rs58347144; rs737380
DSCAM chr21 41 135559 41 135706 rs35298822
AIRE chr21 44529935 44530388 rs351 10251 ; rs751032; rs9978641
SUM03 chr21 45061293 45061853 rs9979741 ; rs235337; rs7282882
C21 orf70 chr21 45202815 45202972 rs61 103857; rs9979028; rs881318; rs881317
COL18A1 chr21 45754383 45754487 rs35102708; rs9980939
PRMT2 chr21 4691 1967 46912385 rs35481242; rs61743122; rs8131044; rs2839379
SIX2 chr2 45081223 45082129 rs62130902
SIX2 chr2 45084851 45085711 rs35417092; rs57340219
Figure imgf000078_0001
TABLE 3 C YL1 HYPOMETHYLATION TRUE
IL17D HYPOMETHYLATION TRUE
GSH1 HYPERMETHYLATION TRUE
Figure imgf000078_0002
MAB21L1 HYPERMETHYLATION TRUE
Figure imgf000079_0001
Figure imgf000079_0002
TABLE 4A
SEQ
GENE
ID SEQUENCE NAME
NO
chrl3 CAGCAGGCGCGCTCCCGGCGAATCTGCCTGAATCGCCGTGAATGCGGTGGGGTGCAGGGCAGGGGCTGGTTTTCTCAGCCGGTCTTGGCTTTTCTCTTTCTCT
1 group- CTGCTCCACCAGCAGCCCCTCCGCGGGTCCCATGGGCTCCGCGCTCAGAACAGCCCGGAACCAGGCGCCGCTCGCCGCTCGCTGGGGGCCACCCGCCTCTCCC
00016 GGAACAGCCTCCCGCGGGCCTCTTGGCCTCGCACTGGCGCCCTCACCCACACATCGTCCCTTTATCCGCTCAGACGCTGCAAAGGGCCTTCTGTCTC
GCTTTGGATTTATCCTCA GGCTAAATCCCTCCTGAAACATGAAACTGAAACAAAGCCCTGAACCCCCTCAGGCTGAAAAGACAAACCCCGCCTGAGGCCGG TCCCGCTCCCCACCTGGAGGGACCCAATTCTGGGCGCCTTCTGGCGACGGTCCCTGCTAGGGACGCTGCGCTCTCCGAGTGCGAGTTTTCGCCAAACTGATAA
2 CEN PJ
GC AC GC AGAAC CGCAATCCC C AAAC AAC AC T GAAC C C GGAC CCGCGATCCC C AAAC T GAC AAGGGAC C C GGAAC AGC GAC C C C C AAAC C GAC AC GGGAC T C G GAACCGCTATCTCCAAAGGGCAGC
ATP8A TTTCCACAACAGGGAGCCAGCATTGAGGCGCCCAGATGGCATCTGCTGGAAATCACGGGCCGCTGGTGAAGCACCACGCCTTACCCGACGTGGGGAGGTGATC
3
2 CCCACCTCATCCCACCCCCTTCTGTCTGTCTCCTT
GCTGGACAAGGAGCGCTCACTGTAGCTCTGCTGTGGATTGTGTTGGGGCGAAGAGATGGGTAAGAGGTCAAAGTCGTAGGATTCTGGCGACCGCCTACCAAGG
4 GSH 1
ATTGGGTCCACAGCACAGAGGTCTGATCGCTTCCTTCTCTGCTCTGCCACCTCCAGACAGCAGCTCTAACCAGCTGCCCAGCAGCAAGAGGATGCGCACGGCT
SEQ
GENE
ID SEQUENCE NAME
NO
TCACCAGCACGCAGCTGCTAGAGCTGGAGCGCGAGTTCGCTTCTAATATGTACCTGTCCCGCCTACGTCGCATCGAGATCGCGA
TGCCTGACACTGACCCCAGGCGCAGCCAGGAGGGGCTTTGTGCGGGAGAGGGAGGGGGACCCCAGCTTGCCTGGGGTCCACGGGACTCTCTTCTTCCTAGTTC
5 PDX1
CTTTCTTGC TAAGGC GAAGGTC C GAGGC AGGAC GAGGGC GAAC TGCGCTGCAATCGTCCCCACCTCCAGC GAAAC C C AGT GAC
T C GGC GGAGAGAC C T C GAGGAGAGT AT GGGGAAAGGAAT GAAT GC T GC GGAGC GCCCCTCTGGGCTCCACC CAAGC C T C GGAGGC GGGAC GGTGGGCTCCGTC C GAC CCCTTAGGCAGCT GGAC CGATACCTCCTGGAT C AGAC C C C AC AGGAAGAC TCGCGTGGGGCCCGATATGTGTACTT C AAAC T C T GAGC GGCCACCCTCA CCAACTGGCCAGTGGATGCGAATCGTGGGCCCTGAGGGGCGAGGGCGCTCGGAACTGCATGCCTGTGCACGGTGCCGGGCTCTCCAGAGTGAGGGGGCCGTAA
6 PDX1 GAGATCTCCAAGGAAGCCGAAAAAAGCAGCCAGTTGGGCTTCGGGAAAGACTTTTCTGCAAAGGAAGTGATCTGGTCCCAGAACTCCAGGGTTGACCCCAGTA
CTGACTTCTCCGGGAGCTGTCAGCTCTCCTCTGTTCTTCGGGCTTGGCGCGCTCCTTTCATAATGGACAGACACCAGTGGCCTTCAAAAGGTCTGGGGTGGGG AAC GGAGGAAGT GGC C T T GGGT GC AGAGGAAGAGC AGAGC T C C T GC C AAAGC T GAAC GC AGT T AGC C C T AC C C AAGT GC GC GC T GGC T C GGC AT AT GC GC T C C GAGC C GGC AGGAC AGC CCGGCCCTGCTCACCCC GAGGAGAAAT C C AAC AGC GCAGCCTCCTGCACCTCCTTGCCC CAGAGAC
AGATCCCGGTGCATTTAAAGGCCGGCGTGATCTGCACCACGTACCTATCTCGGATTCTCAGTTTCACTTCGCTGGTGTCTGCCACCATCTTTACCACATCCCG
MAB21 TAGCTACATTTGTCTACCGCTT GAGC CACCAGCGTCT GAAAC C T GGAC CGGATTTTGCGCGCC GAGAGGT AGC C GGAGGC GGT AAT GAAT T C C AC C C AGAGGG
7
LI CATGCTCCTCTTGCGCCCGTCGCTCAACTTCAGCACCGCGCAGCCGGGCAGTGAGCCATCGTCCACGAAGTTGAACACCCCCATTTGGTTGAGATAAAGCACC CTTCAAATTCGGT
ACTATGCCTTGAGGGTCAAAACGTCTGGATTTCCTGATCGATGCTGTCGTCGCTGTCCACGGAGCTACTGTCGCCGTCAGAGCGGGAAGGCACGTTCAGGGAG AGAAGCGTGGGCTTGCAGAAAGGGACCTGTTGCTGCCTTACATGGGGGCCGGCAGGGTAGTCTTGGAAATGCCCAAGATTGCTTCCGCGCGCGTCAGTTCAGC GACGTGTCTGCCTGGCACGAGGACCGTTCTACAAACTCGTTCCTGGAAGCCGGGCTCGCTGGAGGCGGAGCTTTGGTTTCCTTCGGGAGCTTGTGGGGAATGG
8 RBI CAGCGTCTAGGCACCCCGGGCAAGGGTCTGTGGCCTTGGTGGCCACTGGCTTCCTCTAGCTGGGTGTTTTCCTGTGGGTCTCGCGCAAGGCACTTTTTTGTGG
GCTGCTTGTGCTGTGTGCGGGGTCAGGCGTCCTCTCTCCTCCCGGCGCTGGGCCCTCTGGGGCAGGTCCCCGTTGGCCTCCTTGCGTGTTTGCCGCAGCTAGT CACCTGGATGGCCTCCTCAGTGCCGTCGTTGCTGCTGGAGTCTGACGCCTCGGGCGCCTGCGCCGCACTTGTGACTTGCTTTCCCCTTCTCAGGGCGCCAGCG TCCTCTTGACCCCGCTTTTATTCTGTGGTGCTTCTGAAG
GCAAGTCGGGTAGCTACCGGGTGCTGGAGAACTCCGCACCGCACCTGCTGGACGTGGACGCAGACAGCGGGCTCCTCTACACCAAGCAGCGCATCGACCGCGA TCCCTGTGCCGCCACAATGCCAAGTGCCAGCTGTCCCTCGAGGTGTTCGCCAACGACAAGGAGATCTGCATGATCAAGGTAGAGATCCAGGACATCAACGACA CGCGCCCTCCTTCTCCTCGGACCAGATCGAAATGGACATCTCGGAGAACGCTGCTCCGGGCACCCGCTTCCCCCTCACCAGCGCACATGACCCCGACGCCGGC AGAATGGGCTCCGCACCTACCTGCTCACGCGCGACGATCACGGCCTCTTTGGACTGGACGTTAAGTCCCGCGGCGACGGCACCAAGTTCCCAGAACTGGTCAT CAGAAGGCTCTGGACCGCGAGCAACAGAATCACCATACGCTCGTGCTGACTGCCCTGGACGGTGGCGAGCCTCCACGTTCCGCCACCGTACAGATCAACGTGA
PCDH1
9 GGTGATTGACTCCAACGACAACAGCCCGGTCTTCGAGGCGCCATCCTACTTGGTGGAACTGCCCGAGAACGCTCCGCTGGGTACAGTGGTCATCGATCTGAAC 7
CCACCGACGCCGATGAAGGTCCCAATGGTGAAGTGCTCTACTCTTTCAGCAGCTACGTGCCTGACCGCGTGCGGGAGCTCTTCTCCATCGACCCCAAGACCGG C T AAT C C GT GT GAAGGGC AAT C T GGAC TAT GAGGAAAAC GGGAT GC T GGAGAT T GAC GT GC AGGC C C GAGAC CTGGGGCC T AAC CCTATCCCAGCCCACTGCA AGTCACGGTCAAGCTCATCGACCGCAACGACAATGCGCCGTCCATCGGTTTCGTCTCCGTGCGCCAGGGGGCGCTGAGCGAGGCCGCCCCTCCCGGCACCGTC TCGCCCTGGTGCGGGTCACTGACCGGGACTCTGGCAAGAACGGACAGCTGCAGTGTCGGGTCCTAGGCGGAGGAGGGACGGGCGGCGGCGGGGGCCTGGGCGG CCCGGGGGTTCCGTCCCCTTCAAGCTTGAGGAGAACTACGACAACTTCTACACGGTGGTGACTGACCGCCCGCTGGACCGCGAGACACAAGACGAGTACAACG
Figure imgf000081_0001
Figure imgf000082_0001
Figure imgf000083_0001
SEQ
GENE
ID SEQUENCE NAME
NO
ACCTCCTCCACCGTGTCCAGGGACAGGGTCACGTTGGCCGTGTAGAGGTACTCGAGCACCAGGCGCAGCCCGATGGACGAGCAGCCCTGCAGCACCAGGTTGT GATGGCCCGGGGGCTGGTCAGCAGCTTGTCGTCGGGGGAGGAAGAAGGAGTCCCGGGCTCCTCCTGCGGCGGCGGCTGCTGCTGCTGTGACGGCTGCTGCTGC GCGGCTGCTGCTGGTCCTTGGGGGCCCCCAGGCCGTCCTGGCCGCCGACCCCTCCCCCGAGAGGGGGGTGGCTGGAGAAGAGCGATCGGAAGTACTGCGAGCA GAGGCCAGCACGGCCTTGTGGCAATGGAACTGCTGGCCCTGGGCCGTCAGGGTCACGTCGCAAAACAGCTGCTTCCTCCACAGCAGGTTGAGGCCGTGCAGCA GTTGTCGCTGTGGCTGGGGTCGAAGGTGGAGGTCCTGTCCCCGGATCTGGACATGGCGAGCTGACTCGGTGCACCTGGCTTTAAACCCTCCTCCAACCTGGCA ACAGGGGTGGGGGATGGGAGGGAGGGGAGCAGGGTGGTGGAGCGGGTGGGGTGTGGTCGGGGTGGGGAAGGGTGTGGAGGGGAGGGGAGGGCGAAGAACAAGA TCAAGGCTCAGCTTGACTCCCTCCTGGCGCGCTCCGGACCCCGACCCTAGGAGGAAAGTCCGAAGACGCTGGATCCGTGAGCGCCACCAGAAGGGCCCTGTCT GGGTCCCGGCGCCGGTTCTGCGCCCTGCGGCTCCTCTCGCCACCTCCCACACACTTCGTCCCTCACTTTCCTAAAACCAACCACCTCAGCTCGGCTGTTGGCA CAACAGCAGTGGCAGCAGCGACGGCAAAGTGGCGGCTGAGGCCGAGGCACCTCGTGGGCTCGTGTCCATGCCGGGCCAGATGAAGGGAAAGGCCGGGAAGTGG GAGCCGGGGGTGCCCTGAAAGCTCAGAGGCGACCGACGGCGAAGGTTCCAGGTCAACTTGTGCCCGAAGCTTTGCTTTTCGCAGTTGGCCCAGTTTGGGGGAG GGGTAGGAACAGGGGCCCGACCAGCGTGCGGGGTGTGCGAATCTTAGCTCTCCAAAAGCTG
ST8SIA
25 CCTCTGTGTTAGTGCCCTCGGGAATTTGGTTGATGGGGTGTTTG
3
TGATGTCGCACCTGAACGGCCTGCACCACCCGGGCCACACTCAGTCTCACGGGCCGGTGCTGGCACCCAGTCGCGAGCGGCCACCCTCGTCCTCATCGGGCTC CAGGTGGCCACGTCGGGCCAGCTGGAAGAAATCAACACCAAAGAGGTGGCCCAGCGCATCACAGCGGAGCTGAAGCGCTACAGTATCCCCCAGGCGATCTTTG GCAGAGGGTGCTGTGCCGGTCTCAGGGGACTCTCTCCGACCTGCTCCGGAATCCAAAACCGTGGAGTAAACTCAAATCTGGCAGGGAGACCTTCCGCAGGATG GGAAGTGGCTTCAGGAGCCCGAGTTCCAGCGCATGTCCGCCTTACGCCTGGCAGGTAAGGCCGGGGCTAGCCAGGGGCCAGGCTGCTGGGAAGAGGGCTCCGG TCCGGTGCTTGTGGCCCAAGTCTGCGCGCCGAGTCACTTCTCTTGATTCTTTCCTTCTCTTTCCTATACACGTCCTCTTTCTTCTCGTTTTTATTTCTTCTTC ATTTTCTCTTTCTCTTCCGCTCTTCCCCTACTTTCCCTTCTCCCTTTTCTTTTTCTTTCTTACTCTCTCCTTGTCCCTGAGCTTTCATTGACCGACCCCCCCC ATTTCATTCGCCCTCCCCTCAATGTGCCAACCTTTGCCCTATTTCCGATCTTCCCAGGTACTGGGAGGCGGGATGGGGGTGTGCGTTTTCCTCTAGGAGCCCT TCTTTCCAAGACCCACAGAAACCAGGACCTGCCCTTATTCAAAACCCCATGCACTTCAAGTCTCTTTTAGACAACACATTTCAATTTTCCGGGCTGACTAGTC C C C T GT GC AGAGGC AGT T GAGAGGC T T T GC T C T GC AGAGGGAAAAGAGC T C T C T AC T C T C C C AC C C AC C AT AT AGGC AAAC T T AT T T GGT C AT T GGC T GAAGG
ON ECU
26 ACAGCCTTGCCCCCGCGGGGAACCGGCGGCCAGGATACAACAGCGCTCCTGGAGCCCATCTCTGGCCTTGGCGTTGGCGCAGGGACTTTCTGACCGGGCTTGA T2
GGGCTCGGGCCAGCTCCAATGTCACTACCTACAGCGAGGGCAGGGTGTAAGGTTGAGAAGGTCACATTCACCGCTTTGGGAGGACGTGGGAGAAGAGACTGAG TGGAAAGCGCTTTGCCTTGCTCACCGGCCGTCCTTGCCCCGGTCCCAGCGTTTGCTGGGATTTGCCAGGATTTGCCGGGGCTCCGGGAGACCCTGAGCACTCG AGGAAGAGGTGCTGAGAAATTAAAAATTCAGGTTAGTTAATGCATCCCTGCCGCCGGCTGCAGGCTCCGCCTTTGCATTAAGCGGGCGCTGATTGTGCGCGCC GGCGACCGCGGGGAGGACTGGCGGCCCGCGGGAGGGGACGGGTAGAGGCGCGGGTTACATTGTTCTGGAGCCGGCTCGGCTCTTTGTGCCTCCTCTAGCGGCC AGCTGCGAGGTACAGCCCTCTATTGTTCTAGGAGCACAGAAACCTCCTGTGTGGGCGGCGGGTGCGCGAGCTAGAGGGAAAGATGCAGTAGTTACTGCGACTG CACGCAGTTGCGCGCTTTTGTGCGCACGGACCCCGCGCGGTGTGCGTGGCGACTGCGCTGCCCCTAGGAGCAAGCCACGGGCCCAGAGGGGCAAAATGTCCAG TCCCCCGCTGGGAAGGACACACTATACCCTATGGCAAGCCAGGGTGGGCGACTTCCCATGGATCGGGTGGAGGGGGGTATCTTTCAGGATCGGCGGGCGGTCT GGGGAACAATTCGTGGTGGCGATGATTTGCATAGCGCGGGTCTTGGGATGCGCGCGGTTCCGAGCCAGCCTCGCACAGCTCGCTTCCGGAGCTGCGAGCTCAG TTTCCACCCCCGATCCCCCGGGCTTTCCTCGCACCGCTGAGCCCAGCTTGTGGGGTGCACTCGACCAACGCCCGACAGGGCTGGGGAATGTGACAGGCAGCAG
Figure imgf000085_0001
Figure imgf000086_0001
Figure imgf000087_0001
Figure imgf000088_0001
Figure imgf000089_0001
Figure imgf000090_0001
Figure imgf000091_0001
Figure imgf000092_0001
Figure imgf000093_0001
Figure imgf000094_0001
SEQ
GENE
ID SEQUENCE NAME
NO
GGCTGGGCATGCGAGGGCCCGGGGACTGCCTGGCCCGGGCCGTCGAGGCTCACTCCGGAGCTTCCACCACCGACAGCTCTCTGAGGCCAAGGGACAGCTTTC
TAGTAAGGCACCGAGGGGTGGCTCCTCTCCCTGCAGCGGCTGTCGCTTACCATCCTGTAGACCGTGACCTCCTCACACAGCGCCAGGACGAGGATCGCGGTGA
chrl3
CCAGCAGGTGACTGCGATCCTGGAGCTGGTCGCAGCAGGCCATCCTGCACGCGGTGGAGGCGCCCCCTGCAGGCCGCAGCGCATCCCCAGCTTCTGGACGCAC
60 group- GTGAGCGGTTATGCAGCAGCACGCTCATATGAGATGCCCCGCAGGGTGCTATGCAGGCCCACGTCCCCACAAAGCCCATGGCAGGCGCCCGGGTGCCGGAGCA
00005 GCACTTGGCCCCATGGATCTCTGTGCCCAGGGCTCAGCCAGGCATCTGGCCGCTAAAGGTTT
TCTCATCTGAGCGCTGTCTTTCACCAGAGCTCTGTAGGACTGAGGCAGTAGCGCTGGCCCGCCTGCGAGAGCCCGACCGTGGACGATGCGTCGCGCCCTTCCC
61 C YL1 TCGCGGCCTGGGCGGGCCCGCCTGCCCTCGGCTGAGCCCGGTTTCCCTACCCCGGGGCACCTCCCCTCGCCCGCACCCGGCCCCAGTCCCTCCCAGGCTTGCG
GTAGAGCCTGTCTTTGCCCAGAAGGCCGTCTCCAAGCT
CAGTCCCCGAGGCCCTCCCCGGTGACTCTAACCAGGGATTTCAGCGCGCGGCGCGGGGCTGCCCCCAGGCGTGACCTCACCCGTGCTCTCTCCCTGCAGAATC
62 I L17D CCTACGACCCGGCGAGGTACCCCAGGTACCTGCCTGAAGCCTACTGCCTGTGCCGGGGCTGCCTGACCGGGCTGTTCGGCGAGGAGGACGTGCGCTTCCGCAG
GCCCCTGTCTACAT
AGAGAGACATTTTCCACGGAGGCCGAGTTGTGGCGCTTGGGGTTGTGGGCGAAGGACGGGGACACGGGGGTGACCGTCGTGGTGGAGGAGAAGGTCTCGGAAC GTGGCGGCGGCGGCCCCCCTGCGGGTCTGCGCGGATGACCTTGGCGCCGCGGTGGGGGTCCGGGGGCTGGCTGGCCTGCAGGAAGGCCTCGACTCCCGACACC GCTCCATGAGGCTCAGCCTCTTCACGCCCGACGTCGGGCTGGCCACGCGGGCAGCTTCTGGCTTCGGGGGGGCCGCGATAGGTTGCGGCGGGGTGGCGGCCAC CCAAAAGCCATCTCGGTGTAGTCACCATTGTCCCCGGTGTCCGAGGACAACGATGAGGCGGCGCCCGGGCCCTGGGCGGTGGCAACGGCCGAGGCGGGGGGCA GCGGTACAGCTCCCCCGGGGCCGGCGGCGGTGGCGGCGGCTGCAGAGACGACGACGGGGACGCGGACGGACGCGGGGGCAACGGCGGATACGGGGAGGAGGCC CGGGGGACAGGAGGCCGTCCAAGGAGCCCACGGGGTGGCCGCTCGGGGCGCCCGGCTTAGGAGACTTGGGGGAGCTGAAGTCGAGGTTCATGTAGTCGGAGAG GGAGAC CGCTGCCGGCTGTCGCTGCTGGTGCCCGGGGTGCCT GAGC CCAGC GAC GAGGC CGGGCTGCTGGC GGAC AAGAGC GAGGAGGAC GAGGC C GC C GAC G CAGCAGGGGAGGCGCGGGCGGCGACAGGCGGGCCCCGGGCTCGCCAAAGTCGATGTTGATGTACTCGCCGGGGCTCTTGGGCTCCGGTGGCAGTGGGTACTCG GCATGCTGGGCAGGCTGGGCAGCCCCTCCAGGGACAGGCGCGTGGGCCTCACCGCCCGGCCGCGCTGGCCCAAGAAGCCCTCCGGGCGGCCGCCGCTAGGCCG ACGGGCGAAGGCACTACAGGGTGAGGGGGCTGCGTGGGGCCGGCCCCGAAGGCGCTGGCCGCCTGGCTGGGCCCTGGCGTGGCCTGAGGCTCCAGACGCTCCT
63 I RS2 CTCCAGGATGCGCCCCACGGGGGAGCTCATGAGCACGTACTGGTCGCTGTCCCCGCCACAGGTGTAGGGGGCCTTGTAGGAGCGGGGCAAGGAGCTGTAGCAG
AGCCGGGAACGCCCCTGAGCGGCTCCCCGCCGGGGTGCAGGGCTGCGGAGAAGAAGTCGGGCGGGGTGCCCGTGGTGACCGCGTCGCTGGGGGACACGTTGAG TAGTCCCCGTTGGGCAGCAGCTTGCCATCTGCATGCTCCATGGACAGCTTGGAACCGCACCACATGCGCATGTACCCACTGTCCTCGGGGGAGCTCTCGGCGG CGAGCTGGCCTTGTAGCCGCCCCCGCTCGCCGGGAATGTCCTGCCCGCCGCAGAGGTGGGTGCTGGCCCCGCAGGCCCCGCAGAAGGCACGGCGGCGGCGGCG CGGCGGCGGCCCTGGGCTGCAAGATCTGCTTGGGGGCGGACACGCTGGCGGGGCTCATGGGCATGTAGTCGTCGCTCCTGCAGCTGCCGCTCCCACTGCCCGC AGGGCCGCGCCGGGCGTCATGGGCATGTAGCCGTCGTCTGCCCCCAGGTTGCTGCTGGAGCTCCTGTGGGAGCCGATCTCGATGTCTCCGTAGTCCTCTGGGT GGGGTGGTAGGCCACCTTGGGAGAGGACGCGGGGCAGGACGGGCAGAGGCGGCCCGCGCTGCCCGAGAAGGTGGCCCGCATCAGGGTGTATTCATCCAGCGAG CAGAGGAGGGCTGGGGCACCGGCCGCTGCCGGGCTGGCGTGGTCAGGGAGTAGGTCCTCTTGCGCAGCCCTCGGTCCAGGTCCTGGGCCGCGTCCCCCGAGAC CGGCGGTAGGAGCGGCCACAGTGGCTCAGGGGCCTGTCCATGGTCATGTACCCGTAGAACTCACCGCCGCCGCCGCCGTCTCGGGCCGGGGGCGTCTCCGCGA GGACTCGGGCGTGTTGCTTCGGTGGCTGCAGAAGGCGCGCAGGTCGCCTGGGCTGGAGCCGTACTCGTCCAGGGACATGAAGCCGGGGTCGCTGGGGGAGCCC AGGCGGAGGCGCTGCCGCTGGAGGGCCGCTGGCCGGGGCCGTGGTGCAGCGGATGCGGCAGAGGCGGGTGCGGGCCGGGCGGCGGCGGGTAGGAGCCCGAGCC
SEQ
GENE
ID SEQUENCE NAME
NO
TGGCCGCTGCT GGAC GAC AGGGAGC
chrl3
AAC C AAAGAAT GAAGT C AT GCCCCGGCCTGCACCC GGGAAAC T GC AC AC AGC G AAAGAT C GC C AC T GAGAT AAAGAGC T GAAAGC TATTCCCCAATTCAGC
64 group- GTTTCAGCCGTGCGGTCTCACAATGGGCTCACAGACGGCAGCATC
00350
GTTTCCACAATCCACCTCGTAGCTGGGGCGTGCCGCTTGCCTCGGCTTGTCCCGGCAGAACACTCTTACCTTTAATGGCGACTGAAAAGTTGCCACGAGTTCC GATCATTGTGGTAGGTGCTGCGTGAAGCTGAGACGTGCGTGAGCCACATCCCAGGGGGCTTTGAGCCCCCACCGCGGCGGCGGCTGAGGGGAGGCTTGTCGTA T C GC AC AGGAGGAC AC AGGGC TGCAGTGTTCACTCCAGGGCCTCTTATCATTGGGATCT GAGGAAT T T T C C GAGAGGAAGT GC GAAT T AAC AAT GAT GAAAGG TTGTGAGTGAGTGACAGGCACGTTCTATTGAGCACTGCATGGGGCATTATGTGCCACCAGAGACGGGGGCAGAGGTCAAGAGCCCTCGAGGGCTGGGAGAGTT
65 MCF2L
GGAGGAT AGAAGT C AT C AGAGC AC AAT GAAGC C AGAC CCTGCAGCCGCCTTCCCCTTCGGGGGCTTCCT TAGAAT GCAGCATTGC GGGGAC T GAGC T GT C C C A GTGAAGGGGGGCCGTCACGGTGTGTGGACGCCCCTCGGCTCAGCCCTCTAAGAGACTCGGCAGCCAGGATGGGCTCAAGGCATGAGCCCTCAAAGGAGGTTAG AAGGAGCGAGGGAGAAAAGATATGCTTGTGTGACGTCCTGGCCGAAGTGAGAACAATTGTATCAGATAATGAGTCATGTCCCATTGAGGGGTGCCGACAAGGA TCGGGAGGAGGCCACGGAGCCCTGTACTGAGGAGACGCCCACAGGGAGCCTCGGGGGCCCAGCGTCCCGGGATCACTGGATGGTAAAGCCGCCCTGCCTGGCG
TCCAGCTGCAGCGAGGGCGGCCAGGCCCCCTTCTCCGACCTGCAGGGGTAGCGCGGCCTCGGCGCCGGAGACCCGCGCGCTGTCTGGGGCTGCGGTGGCGTGG
66 F7 GAGGGCGCGGCCCCCGGACGCCCCGAGGAAGGGGCACCTCACCGCCCCCACCCAGAGCGCCTGGCCGTGCGGGCTGCAGAGGACCCCTCCGGGGCAGAGGCAG
T T C C AC GGAAGAC CCCGGCCCGCTGGGGCTTCCCC GGAGAC T C C AGAG
chrl8
AC T T AC T GC T T C C AAAAGC GC T GGGC AC AGC C T T AT AT GAC T GAC C C C GC C C C C GAGT C C C AGGC C GC C C C AT GC AAC C GC C C AAC C GC C C AAC C GC C AC T C C
67 group- AAGGTCACCAACCACTGCTCCAGGCCACGGGCTGCCTCTCCCCACGGCTCTAGGGCCCTTCCCCTCCACCGCAGGCTGAC
00039
C18orf TGCCACACCCAGGTACCGCCCGCCCGCGCGAGAGCCGGGCAGGTGGGCCGCGGATGCTCCCAGAGGCCGGCCCAGCAGAGCGATGGACTTGGACAGGCTAAGA
68
1 GGAAGTGACCTGAG
TCGCCAGCGCAGCGCTGGTCCATGCAGGTGCCACCCGAGGTGAGCGCGGAGGCAGGCGACGCGGCAGTGCTGCCCTGCACCTTCACGCACCCGCACCGCCACT CGACGGGCCGCTGACGGCCATCTGGCGCGCGGGCGAGCCCTATGCGGGCCCGCAGGTGTTCCGCTGCGCTGCGGCGCGGGGCAGCGAGCTCTGCCAGACGGCG TGAGCCTGCACGGCCGCTTCCGGCTGCTGGGCAACCCGCGCCGCAACGACCTCTCGCTGCGCGTCGAGCGCCTCGCCCTGGCTGACGACCGCCGCTACTTCTG CGCGTCGAGTTCGCCGGCGACGTCCATGACCGCTACGAGAGCCGCCACGGCGTCCGGCTGCACGTGACAGGCGAGGCGGCGTGGGAGCGGGTCCCCGGCCTCC TTCCCGCCCTCCCGCCTGCCCCGCCCCAAGGGCTACGTGGGTGCCAGGCGCTGTGCTGAGCCAGGAAGGGCAACGAGACCCAGCCCTCTCCTCTACCCCAGGG
69 CD33L3 TCTCACACCTGGGGGTAGTTTAGGACCACCTGGGAGCTTGACACAAATGCAGAATCCAGGTCCCAGGAAGGGCTGAGGTGGGCCCGGGAATAGGCATTGCCGT
ACTCTCGTAGAGTGACTGTCCCCAGTGGCTCTCAGACGAAGAGGCGAGAAAGACAAGTGAATGGCAATCCTAAATATGCCAAGAGGTGCAATGTGGTGTGTGC AC C AGC C C GGAAAGAC AC T C GC AGC C C C T C T AC C C AGGGGT GC AC AGAC AGC C C AC C AAGT AGT GC C T AGC AC T T T GC C AGAC C C T GAT AT AC AAAGAT GC C T AACCAGGGTCCCGTCCCTAGAGCAGTGGCTCTCCACTCTAGCCCCCACCCTGCTCTGCGACAATAATGGCCACTTAGCATTTGCTAGGGAGCCGGGACCTAGT C AAGC AC C C AC AAGC AT GAAT T T GC C AAAT C T T T T C AGC AAC C T C T T AAGGC AAC TGCTATCATGATCCTCACTTTACACAT GGAGAAGC AGAAGC AGAGAT G TAGAATCTTTCGCCCAAGGCCACATCTGTATTGGGACGGGGGCAGCCTGGCACCCAAGTGCCCATTCCTCCCTTCTGACCAGCCCCCACCCCTCCGGCTCTGG
SEQ
GENE
ID SEQUENCE NAME
NO
GTCCAAAGGGCTAAGGGGAGGGGTGCCCTTGTGACAGTCACCCGCCTTCTCCCCTGCAGCCGCGCCGCGGATCGTCAACATCTCGGTGCTGCCCAGTCCGGCT ACGCCTTCCGCGCGCTCTGCACTGCCGAAGGGGAGCCGCCGCCCGCCCTCGCCTGGTCCGGCCCGGCCCTGGGCAACAGCTTGGCAGCCGTGCGGAGCCCGCG GAGGGTCACGGCCACCTAGTGACCGCCGAACTGCCCGCACTGACCCATGACGGCCGCTACACGTGTACGGCCGCCAACAGCCTGGGCCGCTCCGAGGCCAGCG CTACCTGTTCCGCTTCCATGGCGCCAGCGGGGCCTCGACGGTCGCCCTCCTGCTCGGCGCTCTCGGCTTCAAGGCGCT
ATGAACTTCAAGGGCGACATCATCGTGGTCTACGTCAGCCAGACCTCGCAGGAGGGCGCGGCGGCGGCTGCGGAGCCCATGGGCCGCCCGGTGCAGGAGGAGA
TNF SF
70 CCTGGCGCGCCGAGACTCCTTCGCGGGGAACGGCCCGCGCTTCCCGGACCCGTGCGGCGGCCCCGAGGGGCTGCGGGAGCCGGAGAAGGCCTCGAGGCCGGTG 11A
AGGAGC AAGGC GGGGC C AAGGC T T GAGC GC C C C C C AT GGC T GGGAGC C C GAAGC T C GGAGC
TCAGTGTTATGTGGGGAGCGCTAGATCGTGCACACAGTAGGCGTCAGGAAGTGTTTTCCCCAGTAATTTATTCTCCATGGTACTTTGCTAAAGTCATGAAATA
71 ZNF236 C T C AGAT TTTGTTTTC C AAGGAAGGAGAAAGGC C CAGAAT T T AAGAGC AGGC AGAC AC AC AAC CGGGCACCCC C AGAC CCTGGCCCTTC C AGC AGT C AGGAAT
GAC TTGCCTTC CAAAGC C C C AGC C C GGAGC T T GAGGAAC GGAC TTTCCTGCGCAGGGGGATCGGGGCGCACTCG
chrl8
GTGGAAACACAACCTGCCTTCCATTGTCTGCGCCTCCAAAACACACCCCCCGCGCATCCGTGAAGCTGTGTGTTTCTGTGTTACTACAGGGGCCGGCTGTGGA
72 group- ATCCCACGCTCCAGACCGCGTGCCGGGCAGGCCCAGCC
00342
TCCACACCTCGGGCAGTCACTAGGAAAAGGGTCGCCAACTGAAAGGCCTGCAGGAACCAGGATGATACCTGCGTCAGTCCCGCGGCTGCTGCGAGTGCGCGCT T C C T GC C AGGGGGAC C T C AGAC C C T C C T T T AC AGC AC AC C GAGGGC C C T GC AGAC AC GC GAGC GGGC C T T C AGT T T GC AAAC C C T GAAAGC GGGC GC GGT C C A CAGGACGATCTGGCAGGGCTCTGGGTGAGGAGGCCGCGTCTTTATTTGGGGTCCTCGGGCAGCCACGTTGCAGCTCTGGGGGAAGACTGCTTAAGGAACCCGC CTGAACTGCGCGCTGGTGTCCTCTCCGGCCCTCGCTTCCCCGACCCCGCACAGGCTAACGGGAGACGCGCAGGCCCACCCCACCGGCTGGAGACCCCGGCACG
73 OLIG2
CCCGCATCCGCCAGGATTGAAGCAGCTGGCTTGGACGCGCGCAGTTTTCCTTTGGCGACATTGCAGCGTCGGTGCGGCCACAATCCGTCCACTGGTTGTGGGA C GGT T GGAGGT C C C C C AAGAAGGAGAC AC GC AGAGC T C T C C AGAAC C GC C T AC AT GC GC AT GGGGC C C AAAC AGC C T C C C AAGGAGC AC C C AGGT C C AT GC AC C GAGC C C AAAAT C AC AGAC C C GC T AC GGGC T T T T GC AC AT C AGC T C C AAAC AC C T GAGT C C AC GT GC AC AGGC T C T C GC AC AGGGGAC T C AC GC AC C T GAGT T GC GC T C AC AGAT C
CTGCCCTCGCGGATCTCCCCCGGCCTCGCCGGCCTCCGCCTGTCCTCCCACCACCCTCTCCGGGCCAGTACCTTGAAAGCGATGGGCAGGGTCTTGTTGCAGC CCAGTGCGTAGGCAGCACGGAGCAGAGGAAGTTGGGGCTGTCGGTGCGCACCAGCTCGCCCGGGTGGTCGGCCAGCACCTCCACCATGCTGCGGTCGCCGCTC TCAGCTTGCCGGCCAGGGCAGCGCCGGCGTCCGGGGCGCCCAGCGGCAACGCCTCGCTCATCTTGCCTGGGCTCAGCGCGGTGGAAGGCGGCGTGAAGCGGCG C T C GT GC T GGC AT C T AC GGGGAT AC GC AT C AC AAC AAGC C GAT T GAGT T AGGAC C C T GC AAAC AGC T C C T AC C AGAC GGC GAC AGGGGC GC GGAT C T T C AGC A GCAGCTCCCGGGAGACCAACATACACGTTCAGGGGCCTTTATTACTGCGGGGGGTGGGGGGGGGCGGGGGTGGTTAGGGGAGGAGGGAGACTAAGTTACTAAC
74 RU NX1 GTCCAGGAGGGGAAAACGTTCTGGTTCTGCGGATCGGCCTCTGACCCAGGATGGGCTCCTAGCAACCGATTGCTTAGTGCATTAAAAAGTGGAGACTATCTTC
ACGAATCTTGCTTGCAGAGGTTAAGTTCTGTCTTTGGCTGTTAGAAAAGTTCCTGAAGGCAAAATTCTCATACACTTCCTAAAATATTTATGCGAAGAGTAAA CGATCAGCAAACACATTATTTGGAAGTTCCAGTAGTTAATGCCTGTCAGTTTTTTGCAGGTGAGTTTTGTCTAAAGTCCCAACAGAACACAATTATCTCCCGT ACAAGGCCACTTTTATCATGCAAAACTGGCTTCAGTCCCGAAAAGCAAGAGCTGAGACTTCCAAAGGTAGTGCTACTAATGTATGTGCACGTATATATAAATA ATACATATGCTCTACTTCATAAAATATTTACAATACAATCTGTGGAGAATTTAAACACAACAGAAATCCATTAATGTACGCTGCAGATTTTTTTAAGTAGCCT GAAAATCAGCTTCAGTAGTTGGAGCAGTGCTGAGCTAGAAGTACTTGTCATGTTCTCTGTTCTCTCAATGAATTCTGTCAAAACGCTCAGTGCAGAAAATTCA
SEQ
GENE
ID SEQUENCE NAME
NO
CGTTTCAGAGATCTTCAGCTAATCTTAAAACAACAATCATAAGAAGGCCCAGTCGATGACACTCAGGGTTCTACAGCTCTCCCACATCTGTGAACTCGGGTTT GGGATGTTGGTTAAGTTTGTGGCTGGTCCTCTGGTTTGTTGGGAGTTGAGCAGCCGCAGAGTCACACACATGCAAACACGCACTCTTCGGAAGGCAGCCACTG CTACATCAGCTGGGTGACTCAGCCCTGACTCGGGCAGCAGCGAGACGATACTCCTCCACCGTCGCCCAGCACCCGCCGGTTAGCTGCTCCGAGGCACGAACAC CACGAGCGCCGCGTAACCGCAGCAGGTGGAGCGGGCCTTGAGGGAGGGCTCCGCGGCGCAGATCGAAACAGATCGGGCGGCTCGGGTTACACACGCACGCACA CCTGCCACGCACACTGCCACGCACACGCAACTTCACGGCTCGCCTCGGACCACAGAGCACTTTCTCCCCCTGTTGTAAAAGGAAAACAATTGGGGAAAAGTTC C AGC C AGGAAAGAAGT T GAAAAC AT C C AGC C AAGAAGC C AGT T AAT T C AAAAGGAAGAAAGGGGAAAAAC AAAAAAAAAC AAC AAAAAAAGGAAGGT C C AAC G AGGCCAAGGAGAAGCAGCAGAGGTTGACTTCCTTCTGGCGTCCCTAGGAGCCCCGGAAAGAAGTGCCTGGCGGCGCAGGGCCGGGCAGCGTGGTGCCCTGGCT GGTCCGGCCGCGGGGCGCCCGTCCCGCCCGCGCCCGCTGGCTCTATGAATGAGAGTGCCTGGAAATGAACGTGCTTTTACTGTAAGCCCGGCCGGAGGAATTC ATTCCCTCAGCTCGTTTGCATAGGGGCGGCCGGCGGCCAATCACAGGCCTTTCCGGTATCAGCCAGGGCGCGGCTCGCCGCCGCCGGCTCCTGGAATTGGCCC CGCGCCCCCGCCGCCGCGCCGCGCGCTACTGTACGCAGCCCGGGCGGGGAGTCGGAGGCCACCCCCGCGCCCCGCATCCAAGCCTGCATGCTGGCCCGGGGCC CGCCCGCGTGCGGACCCCTTTCCGCAGCCACACGCAGGCTTGTGCGGCTCCGCGAGTGGCCACGGTCCGGAGACCTGGAAAAAGAAAGCAGGCCCCGCCGGCC GAGGAGGACCCGGCCGGCGCGCCGCACCCGGAGAGGCCCGGCCCCGCGAGCCGCTGCAGGCAGGCGCAGTGGCCGCCACGAGGCTCCCGAACCGGGCTGCAGC CGCGGACGGCCCCAGATCCTGCGCGGCCGCCCAGGGCCAGGCCTCCGCTTCCAGGGCGGGGGTGCGATTTGGCCGCGGGGCCCGGGGGAGCCACTCCGCGCTC TGCACCGTCCGGCTGGCAGCTGCGGCGAAGCGGCGCTGATTCCTTGCATGAGGCCGGACGGCGTCCGCGCGTGCCGTTTGCTCTCAGCGTCTTCCCTTGGGTC GTTTCTGTAATGGGTGTTTTTTACCGCTGCGCCCGGGCCGCGGCTCGATCCCTCCGCGCGTCTCACTTGCTGCGTGCGTCAGCGGCCAGCGAAGAGTTTCCTA T C AGGAAAGAC C C C AAGAAC GC GC GGC T GGAAGGAAAGT T GAAAGC AGC C AC GC GGC T T GC T C C C GGGC C T T GT AGC GC C GGC AC C C GC AGC AGC C GGAC AGC TGCCCGGGCCCCGCGTCTCCCCTCCGGCTCCCCGGAAGCGGCCCCCGCTCCTCTCCCCGCCCCCGTGCGCTCGAGCGGCCCCAGGTGCGGAACCCACCCCGGC TCGCGTGCGGGCGGCCGCTTCCCCCTGCGCCGGTCCCCGCGGTGCTGCGGGCATTTTCGCGGAGCTCGGAGGGCCCCGCCCCCGGTCCGGCGTGCGCTGCCAA TCCGACCCCGCCCGGCGGGGCTCCCTCCCAGCGGAGGCTGCTCCCGTCACCATGAGTCCCTCCACGCCCTCCCTGCCGGGCCCTGCACCTCCCGGGGCCTCTC TCCACCCCGGGGCTGCAACCCAGTCCCCGGATCCCGGCCCCGTTCCACCGCGGGCTGCTTTGTGGTCCCCGCGGAGCCCCTCAATTAAGCTCCCCGGCGCGGG GTCCCTCGCCGACCTCACGGGGCCCCTGACGCCCGCTCCTCCCTCCCCCAGGGCTAGGGTGCTGTGGCCGCTGCCGCGCAGGGACTGTCCCCGGGCGTTGCCG GGGCCCGGACGCAGGAGGGGGCCGGGGTTGACTGGCGTGGAGGCCTTTCCCGGGCGGGCCCGGACTGCGCGGAGCTGTCGGGACGCGCCGCGGGCTCTGGCGG CGCCAGGGGGCAGCAGCCGCCCTCCCTGGACGCCGCGCGCAGTCCCCGGAGCTCCCGGAACGCCCCCGACGGCGCGGGGCTGTGCGGCCCGCCTCGTGGCCTT GGGTCGCCC GGGAAGAAC T AGC GT T C GAGGAT AAAAGAC AGGAAGC C GC C C C AGAGC C C AC T T GAGC T GGAAC GGC C AAGGC GCGTTTCC GAGGT T C C AAT AT GAGTCGCAGCCGGCCAGGTGGGGACTCTCGGACCAGGCCTCCCCGCTGTGCGGCCCGGTCGGGGTCTCTTCCCGAAGCCCCTGTTCCTGGGGCTTGACTCGGG CGCTCTTGGCTATCTGTGCTTCAGGAGCCCGGGCTTCCGGGGGGCTAAGGCGGGCGGCCCGCGGCCTCAACCCTCTCCGCCTCCGCTCCCCCTGGGCACTGCC GCACCCGAGTTCAGTTTTGTTTTAATGGACCTGGGGTCTCGGAAAGAAAACTTACTACATTTTTCTTTTAAAATGATTTTTTTAAGCCTAATTCCAGTTGTAA TCCCCCCCTCCCCCCGCCCAAACGTCCACTTTCTAACTCTGTCCCTGAGAAGAGTGCATCGCGCGCGCCCGCCCGCCCGCAGGGGCCGCAGCGCCTTTGCCTG GGGTTCGGACGCGGCCCGCTCTAGAGGCAAGTTCTGGGCAAGGGAAACCTTTTCGCCTGGTCTCCAATGCATTTCCCCGAGATCCCACCCAGGGCTCCTGGGG C AC C C C C AC GT GC AT C C C C C GGAAC C C C C GAGAT GC GGGAGGGAGC AC GAGGGT GT GGC GGC T C C AAAAGT AGGC T T T T GAC T C C AGGGGAAAT AGC AGAC T C GGTGATTTGCCCCTCGGAAAGGTCCAGGGAGGCTCCTCTGGGTCTCGGGCCGCTTGCCTAAAACCCTAAACCCCGCGACGGGGGCTGCGAGTCGGACTCGGGC GCGGTCTCCCAGGAGGGAGTCAAGTTCCTTTATCGAGTAAGGAAAGTTGGTCCCAGCCTTGCATGCACCGAGTTTAGCCGTCAGAGGCAGCGTCGTGGGAGCT C T C AGC TAGGAGTT T C AAC C GAT AAA
SEQ
GENE
ID SEQUENCE NAME
NO
TTCGGAAGTGAGAGTTCTCTGAGTCCCGCACAGAGCGAGTCTCTGTCCCCAGCCCCCAAGGCAGCTGCCCTGGTGGGTGAGTCAGGCCAGGCCCGGAGACTTC CGAGAGCGAGGGAGGGACAGCAGCGCCTCCATCACAGGGAAGTGTCCCTGCGGGAGGCCCTGGCCCTGATTGGGCGCCGGGGCGGAGCGGCCTTTGCTCTTTG
75 AIRE GTGGTCGCGGGGGTATAACAGCGGCGCGCGTGGCTCGCAGACCGGGGAGACGGGCGGGCGCACAGCCGGCGCGGAGGCCCCACAGCCCCGCCGGGACCCGAGG
CAAGCGAGGGGCTGCCAGTGTCCCGGGACCCACCGCGTCCGCCCCAGCCCCGGGTCCCCGCGCCCACCCCATGGCGACGGACGCGGCGCTACGCCGGCTTCTG GGCTGCACCGCACGGAGATCGCGGTGGCCGTGGACAG
ACGCACACTGGGGGTGTGATGGAAAGGGGGACGCGATGGATAGGGGTGGGCGCACACTGGGGGACGCGACGGGGAGGGGTGAGCACACACTGGGGGTGTGATG AGAGGGCGACGCAATAGGGAGGGGTGGGCGCACACCAGGGACGCGATGATGGGGACGGGTGGGCGCACACCAGGTGGCATGATGGGGAGGAGTGGGTACACAC
SU MO ATGGGGGGCGTGATGGGGAGGCGTGGGCGTACACCGGGGGGCGCGATGGGGAGGGGTGGGCGCACACCGGGGGACGCGATGGAGGCGGTGGGTGCACACGGGG
76
3 GC GAT GGGT GGGAGT AGGT GC AC AC T GAGGGC AC GAT T GGGGAGAC AC GAAGGAGAGGGGT GGGC GC AC AC T GGGGGAC GCGATGGCC GGGAC AC GAT GC GGA
AAGTGGGTGAATACCGGGGTCGCGATGGGCGCCCTGGAAGGACGGCAGTGCTGCTCACAGGGGCCAGGCCCCTCAGAGCGCGCCCCTTGGGGGTAACCCCAGA GCTTGTTCCCGAGCCGACTCCGTGCACTCGACACAGGATC
C21orf CCACAGGGTGGGGTGCGCCCACCTGCCCTGTCCATGTGGCCTTGGGCCTGCGGGGGAGAGGGAATCAGGACCCACAGGGCGAGCCCCCTCCGTAGCCCGCGGC
77
70 C C GAC TGGATCT C AGT GAAC AC CCGTCAGCCCATC CAGAGGC T AGAAGGGGGA
C21orf TTGAGGTCTCTGTGCATGCTTGTGCGTACCCTGGACTTTGCCGTGAGGGGTGGCCAGTGCTCTGGGTGCCTTTGCCAGACAACTGGTCTGCCGGGCCGAGCAT
78
123 CATGCTGGTC
COL18
79 TGACGCGCCCCTCTCCCCGCAGCTCCACCTGGTTGCGCTCAACAGCCCCCTGTCAGGCGGCATGCGGGGCATCCGCGGGGCCGACTTCCAGTGCTTCCAGCAG Al
AACACACTGTCTCGCACTAGGTGCTCGCGGAAGAGCGCGGCGTCGATGCTGCGGCTCAGGTTGATGGGCGATGGCGGCCGCAGATCCAGCTCGCTCAGCGATG CGCCGGTCCCACACCGTTGCGGGACAGTCCCGGGCCACCCTGGGGTCCGCGACCCAACGACGCAGCCGAGCCCCAGGCGCCTGAACTGGGCGTGGCCAGCTGC CACTCTCCGCCGGGTTGCGGATGAGGCTCTTGCTGATGTCCAAGCTGCCTGCACCAACGTTGCTGGGCCCTGCATAGCAGTTATTGGGTCGCTCCGGCACCTC
80 P T3 CTCTTTCCTGACGGCGCCGGGCACGCCAGACGCATCAGCTTAGCCCAGCAAGCGTGCTCCGTGGGCGGCCTGGGTCTCGCGGCAGCCACCGCGGCCAACGCCA
GGCGAGCGCCCATGTCAGCTCCAGGAGGCGCAGCCAGAAGTGGACACCCCACCAGGCCCACGAGAAGCGGCCCACGCGGCCTGGGCCCGGGTACAGCCAGAGC CAGCCGCCAGCTGCAAGCCGCTAGCCAGCAGCCCCAGCGCGCCCGCCACAGCCAACAGCCGAGGGCCCGGGCTGGCATCCCAGCCCCGTGGGCCGTCCAGCAG CGGC GAC GGC AC AGGC AGAGC GT GC C CAGAGC C AC
GTCTGCACGAAGCCCGCGGCGGCCTGCAGGGGGCCCAGCGACTCGTCCAGGGAACCGGTGCGCAGGAGCAGCCGGGGGCGCGGCGCGCCGGCCGCCCTTGGGG ACTCTGGGGCCGGGGGCGCAGCTCGATCTGACGCTTGGGCACTGTCCGGGGCCTGGCGGGCGCGGCGCCCTCCTCCAGAGCCACCTCCACACACTCGAACTGC CTGGGGCGGCAGGACTTGGCCCACGGGGCCGCAGCTCTAGGTAGGTGGCCCAGCGGGAGCCACCATCGGGGACCTGGGACTGGCGTGGGACCGCGGCGGGAGA
MGC29
81 GCTGGCCCCGGCGGCAAGGGGCTGATGAAGGCCGGCTCCGTGAACTGTTGTTGCGCCTCGCGATCGTCTGCGCCGGAGCAGCCGAACAGGGGTCCGACGCCGA 506
GATGACTTCCATCTCCCCCGACGGCAGCGTGCGCAGCTGGGGCTGGGGTGGCCGTGGGCCGGAACCTGGGCCTCGCGGGAAACCCGAGCCGGGCCCGTGCCGC GGCGGCTATTCTGGGCGCTGACGGACAGGCGAGGCTGCGCGCCCGCCCCCCGCCCAGGAGCCACCCAGGGCCAATTCGCTGGGCCTTTCGCGTCCGGCCCAAC TCCGGGGGCTCCGGAGAACCTGGAGCCGTGTAGTAGGAGCCTGACGAACCGGAGGAGTCCTGGCGCCGCGCGGGGGCCGTGGGCAGCTGCCTCGGGATCCCAG
SEQ
GENE
ID SEQUENCE NAME
NO
CAGGGCTGGCGGGGCGAGCGCGGTCAGCATGGTGGGGCCGGACGCCGTGCACTATCTCCCTCGCATTCGCCTCCGCTGGTGGCGC
CTGGAGAGAACTATACGGGCTGTGGGAGTCACCGGGCGACTATCACCGGGCCTCCTTTCCACATCCTCCTCCGGGAAGGGACCCCGTTCCGGGCCTCGACCGG GCAGACTGGGCTGACCCACTTTCTTGGGCCCACTGAGTCACCTCGAAACCTCCAGGCCGGTAGCGGGGAGGAGAGGAGGAGCAGGCGGGGGTGCCAAGGTGTG
82 TEAD3 GCTGCGCCCTGGTTAGGGGGCGAGCCCGGCTTGTTTATGAGGAGGAGCGCGGAGGAGGATCCAGACACACAGGCTTGCGCGCCCAGACTCGCCCGGCCAGCGG
TGGCGGCCTCCGACGTCACCAAACCGGTTGGGTGAGAGGGCAGAGAGCAGGGGGAAGGGCCGCAGTCCCGCCCGCGCCCCCCGGCACGCACCGTACATCTTGC CTCGTCTGACAGGATGATCTTCCG
chrl2 GAGTGCGGAGTGAAGGGGTGCACTGGGCACTCAGCGCGGCCCTTGGGAGGCAGGGCCGCCCCAGCCTGCCCTCCTGTCTGGGAAGGCCGTCCAGAAGCAGGAG
83 group- CCCGGGGAAAACAACTGGCTGGACGGGGCGGCCTTCAGTGTCTCTCCCAGCCTGAGAGTCGCTTCCCACCACCTGGGCACGAACCTGCTCTGCGATCTCCGGC
00022 AGTTCCTGCGCCTCCTGTCGGTAAAATGCAGATCGTGGCGTCTT
TCTTCTTTCCGCCCCTAGGGGGCACAAGCGGGCATGTCCAAGCGCCTAGGAGCCCGTACCGCTGGGGACCTCCCCTTCCGCGAACCCCGAGCGGGTAGACCCA AGCAATCCGAGTGTGGAAACAATGGAGAGGGGGCGTGTTGAGCTGGGGTCTCCATGCCTCGTTGGGGAGAGGGAGGTGAGTTTGTGTCTTCTGGAAGGCGTGG GGCTGTGCCCTCGTGGGGGTAGGAAGTGCTCCCGTGGGGCGGGGTGCGGATCGGAGAGGTGAGTGGGTGCGTCTGTCCAGCGGTCCGCCCGGTGTGGTCGTGC CGGCCCGCGTGGGGATGGGGGTGTCTCTCCCGCTGGGCAACTATACCAGCGCAACCGGGGCGTCGGCGCGGCCCACGCTAGCGGCGCTGCTCCGGCGGCGGGG CTGGGCGTGGCGGTGATGCTGGGCGTGGTGGCCGCGCTGGGCGTGGTGGCCGCGCTGCCGCCCTCACCCGGGCAGCCGTGCTGGAGAAGGATGTCGGCGCACA CTGGCTTCCAGCCTGGCGGGCGTAGAACAGCGCCGTGCGGCCCTGGGCGTCACGGGCCGCCACGTCCGCGCCGTACTAGAGGGCGGAAACGGCCGCGTGACCG GCGTCCCCAGGGCGCCCACACCCGGCGCCGCCTCCCCCACATGGCCAAGCCTACTTCCGGGGTCCCTCTGGGAATTTCGGGCTTTCCCGCGCCAGGCGTTTTC
CENTG
84 GAGATGAAGCCTCAAAGACCCCCTTTCCTCCCCCCAGCTCACGTACCCACAGCAGCAGTTGCGTGATGACGACGTGGGCGAGCTCGGCCGCCAGGTGGAGTGG 1
GAGCGCAGCTGTGGGTCCTCTACGCTGGTGTCGAGCGGCCCGTGTCGCGCATGGGCCAAAAGCAGGAGAACGGTAGCCACGTCCTGGGCCTGCACGGCGGCCC CAGCTGGCGGCCCAGCGGCTCCTCCGAGGTGCTCAGCGGCGCCAGGAACAGTAGCTGCTCGTACTTGGCGCGAATCCACGACTCGCGCTCCTCCCTGCAAGAC AGGGAT C AAC GGAAAAGGC T C T AGGGAC C C C CAGC C AGGAC T T C T GC C C C T AC C C AC GGGAC C GT C T C AGGT T C GC AC AC C C T CAGC AAC C C T C C C C C C GC T C GTTCCCTCACGCTTACCGCGAAGAGTCCCGCGAGGGCTTGGCACGGCCTCGCGTGTCGCTTTCCCACACGCGGTTGGCCGTGTCGTTGCCAATAGCCGTCAGC CCAGGGTCAGCTCCCGTGGCCAGTCGTCCAAGTCCAGCGAGCGAACGCGGGACAGGTGTGTGCCCAGGTTGCGGTGGATGCCAGAACACTCGATGCAGATGAG GCGCCCAGGTTCAAGCTGGCCCACGTGGGGTCTGCGGAAGGAGCGTAGAGGTCGGCTCCCAGCCGGGCAGCACAGGCACCCCGGCATTCACTACACTCCCTAG CCCTCCGCTGCCTCCTGGCACTCACTGGGGGCCCCGCAGTCCACGCAGATTGAATTCCCCTTGGCGTTCCGGATCGCCTGGAT
AGCCAGGTCCAGCCCCCGCGCCTGACACCGGCCGGACGTTCCCGGGGCGCCGCAGCTGCGGCGGGAACTCTGGGATCCGGAGCCATCTGCTCCCACCCGCTCC GAGCCAAACCCCGGGGGCCGCCTCCGCTCCCGGACCCGCCTCCTCTCCCGGGAGTGTGAGCCGAACCAAGAGTCTCCTGCCTATCTCCTCCAGTAGGAAAATA TAATAATAATAGACACCCTGCCCCCGTAAAAAACACTACCTTCCCCGTACCGCCTCCCAAGTCTCCCGGGGTACGGATTGCCTTTGCAGCAGTTCCGCCCCAC
CENTG TGACTCACTCCAGGGTCAGCCCCGGGTGGGTTTCAATGCGGCTCTGGGGAGGGGGTGGGCAGTGGGGGAAGTGAGGCTTCCTATCCGCCCCCTCTCACTTCAC
85
1 T T T AAAT AT T C T GC AC GT T C C AGC C C C C GC GGAC T C GC GT AC C GC C C AAT C C GC C T T C AC C GC AC GAAAAAC AT C AC T AGC C T GC T C T C AGC C C AGGGGAC GA
TAGTCCCTGGCGAGAAGCTGCCTGCAAGGTCACTGTCATGCCACCTGCCCCAAGTGCTCAGGGGAAACTGAGGCTTCCTCATCCCCTTCACCTTCAACGTCGC CTAAACACGGCAAAGCCCCGTTTCCATGCTCCCAGAGTTCAGCTGAGGCTGGAAGTGGGGTCCTGGGCTTCTCTGGGAGCAATTTTCTAGTCACTCTGATCAA GACGTTACTTTCCCAGAAAGCTCTGAGGCTGAGTCCCTCTGAAATCAAGTCCTTTCTCCTGTCGCACAATGTAGCTACTCGCCCCGCTTCAGGACTCCTATTC
Figure imgf000101_0001
Figure imgf000102_0001
Table 4B
Figure imgf000102_0002
SEQ
GENE
ID SEQUENCE NAME
NO
TCTCGGTTGCAATCCCCACCCTCCTCACCCAGCAGGGCAGGAGGCACCCAACTTGGAGGAGAAAGGGGTGGGGGAGGTGAAACAGAGACCGGAGAGTCACGAG GCTGGGCCGCCGAGAGCAGGAGAATATACCGTGTCACACACCTCCATTCTCTCACACACGTTGCAGACACAAATCACTGACGGTTTCCACGTGCTGCGCTCGT
93 Clorf51
AGCGGAGGTGTTCAAAGAGGGGGCAGATGAGTTACTTCCCGAGACGGAACCGGGGGTCCCACGTCCGCCGCCTTCAGTAGCACAACCAATCTCTGAACACTCA ACCGCGCATCTCTGGCGCATCACCATCCTATTTAAGGCCACGGGCTCCGCCCTTTTCCTCCCCTCCCTTCTTTTCCACTCTTTTTCCA
CTGCCAGAGATGTGTCTGTCTTGCGCCCCGCATGCACTGCCTGCGGGGCTGCGCTGCACTCCCCGGCGGCGCCACGGGTCTGGCCCCCGCGCTTCTACGTGTT
chrl:17 GGGGGATGCATGGACCTTGGAGATCCGTAGTTGGCCCTAACCTTCTCGGAATCTCCTCTGCACGCGCTGCCTGTTCCTCCTCTGCACGCTCTGTCCGTTCCTT 955390 GCAACTTCTGTGGGAATTGTCCTGGCGTGGGAAACGCCCCCGCGCTCTTTGGCACTTAGGGTGTGAGTGTTGCGCCCCTTGCCGCAGCGCTCAGGGCAGCATC
94 0- CGCTCGAGGATGCAGGGTTCTCACCAAGCAGTGAGGGGGACTCACGCGCCGCCGGGGAGCGGAGCCAGGCTCCGAGAAGGGAGCAGGCTCGAGCCGCTGGGTT
179554 TCGCAAGCCTTGGGGCCTCTGGCCGCCCTTCCATGCCTCCGGGCGCGGGCGGCTCAGCAGGTCCCCGGCTTCGGGAAGTTTTGTGCGCGGATCGCTGGTGGGG 600 GGGCGCGCGGGCCAGTGGCTGAGCTTGCAGCGAAGTTTCCGTGAAGGAAACTGCATGTGCCTTTGGAGGCGACTCGGGACTGCTGTAGGGTGGACTGGGTGTC
ATGGAGTTGCGGGTCAGAGCGAGTAGGGTGGGTCCTTTCCTGGGACAGGACTGGGAATTGGGGCTCGAAGTAGGGG
AGGGGTGTCCTCCAACATCTCTGAACCGCCTTCCCTTCCTCCTCACTGGCGCCCTCTTGCCTCAGTCGTCGGAGATGGAGAGGCGGCTGAAGATTGGCAGGCG
95 ZFP36L2
CGGCCAGGGTCGAGGCTGGGAGACTCAGAGCCGCTGAGGCTGCCGGAGCTCAGGGAGCCGCTTAGGTAGCTGTCGCGGTCCGACAGCGAGTCCGGG
TCTGACTCTCGGGCTGGAGCAGCCGAGACAGCGCTCCCCAGCGGGACTACAGAATCCCGGGTGTCGGCCTGGGGGCCCTGGATTGGCAGTGGTGGAGTCTTCT AGCCTAACAGCTACTAGGAATGACAGAGTTGCAGATGGCTTTGTCGCCCGCGGGGCGGCTCAAGCGTCCTGGGTCCCAGGCCTCTGTCCTACGGCCAGGCCGC GGCTCAACGGGCCGAAGGGAATCGGGCTGACCAGTCCTAAGGTCCCACGCTCCCCTGACCTCAGGGCCCAGAGCCTCGCATTACCCCGAGCAGTGCGTTGGTT CTCTCCCTGGAAAGCCGCCCCCGCCGGGGCAAGTGGGAGTTGCTGCACTGCGGTCTTTGGAGGCCTAGGTCGCCCAGAGTAGGCGGAGCCCTGTATCCCTCCT GAGCCGGCCTGCGGTGAGGTCGGTACCCAGTACTTAGGGAGGGAGGACGCGCTTGGTGCTCAGGGTAGGCTGGGCCGCTGCTAGCTCTTGATTTAGTCTCATG CCGCCTTTGTGCCGGCCTCTCCGATTTGTGGGTCCTTCCAAGAAAGAGTCCTCTAGGGCAGCTAGGGTCGTCTCTTGGGTCTGGCGAGGCGGCAGGCCTTCTT GGACCTATCCCCAGAGGTGTAACGGAGACTTTCTCCACTGCAGGGCGGCCTGGGGCGGGCATCTGCCAGGCGAGGGAGCTGCCCTGCCGCCGAGATTGTGGGG AACGGCGTGGAAGACACCCCATCGGAGGGCACCCAATCTGCCTCTGCACTCGATTCCATCCTGCAACCCAGGAGAAACCATTTCCGAGTTCCAGCCGCAGAGG ACCCGCGGAGTTGCCAAAAGAGACTCCCGCGAGGTCGCTCGGAACCTTGACCCTGACACCTGGACGCGAGGTCTTTCAGGACCAGTCTCGGCTCGGTAGCCTG TCCCCGACCACCGCGACCAGGAGTTCCTTCTTCCCTTCCTGCTCACCAGCCGGCCGCCGGCAGCGGCTCCAGGAAGGAGCACCAACCCGCGCTGGGGGCGGAG
96 SIX2
TTCAGGCGGCAGGAATGGAGAGGCTGATCCTCCTCTAGCCCCGGCGCATTCACTTAGGTGCGGGAGCCCTGAGGTTCAGCCTGACTTTCCCGACTCCGCCGGG GCTTGGTGGGCTCCTGGGCTTCTGGGCTCACCCTTACACCTGTGTACTAAAGGGCTGCTACCCTCCCGAGGTGTACGTCCGCCGCCTCGGCGCTCATCGGGGT TTTTTTCACCCTCTCGCGGTGCACGCTTTTTCTCTCACGTCAGCTCACATCTTTCAGTACACAGCCACTGGGTCTCCCTGCCCCTCCAGCCTTTCCTAGGCAG TTTGAGGGCCCAGACGACTGAAGTCTTACTGCTAGGATGGGAACACGATGAAAAAGGAAGGGGCCCAGTCAAAAGTCCTCTCCTCTTCGGTTTTTCTTCAACT TCCTTCACAAAAACATTTATTTCTGTCCCAGCGCCCTGGCGGATTTCGGCAGATGGGCCCTAGGGGGTTGTGGAGGCCAAATTCCCAGGATGCTGGTCCTGCC TTTTCATTGGCCAAAACTGTATTTCCTACAACGACTAAAGATAACCAAGAACTGAGTAGACCCTGTTCTCTCACCAGATCTCCCTGGCTCTGTTTAACTTTTC TGGTGCAATGCGATGGCACCACCAGCTCCCCAGGCAGGCACCACTCCCTCAAGATACCATTTGGGGTAGGGATTTGAGTCCTGGAGAGGGTCAGCGGGGCGCC GGGTGGGGGTGGGAAGGAGACTGACAGGGACACACCGCGAGCTCCGCATACTCTCCTCTGCCCCCTGTAGCCCGGGGCTTTAATGACCCCAAGCAGATTTCCT TCTCTGGTCTAGCCAGCTGCCCCTAGGGCTGGATTTTATTTCTTCATGGGGTTTCACCCTAAAGGGCCCCCTGGTCATGGGACCTGGTTGGGAACAAATGAAA ATGTCTTGTAGCAAATGCTTTCAGGGGAGCAGAAAAGAAGATTGGGCACTTCCAGTCACTTGGTCACTTTAGGTGGCTGGAACAAAACTGGTGACTTTCACGA
SEQ
GENE
ID SEQUENCE NAME
NO
TGCTACAGGGTGAGGGGGTGAAGGGTGGCAGAGAGGTGACAAGCCACTGGGAATCCTATTCAGTGGGGATGCCGACAGGGAGTGGCTGTAATCAACTGAGCAA ATCTGTGTGAATGTTATTCACAGGTCAGGACAGCAGCTTGGTCTTCCCAGGTGAGGAACTGAGGACTGGCCTGCATAGATTTGTGCAGTAGGTGAGTAGCTTC AAATTTATTTTCAGAACTTCCATGTAGTACCTGCCTCTCCATTTAAATATTTTTTAAAATTTTATTTATTTAAATATTTTCTTGGTTAGCTTTCCAAGAGGGA GAAAAGAGGGGAGTTGCAACAAGTAGTGCCCCTATGCTGGGATTCATTTTCCAGAGTAAAGCCTGGGACTGGCACCCTGACCCCTACCGGCAGGTGAAAACTC AGGCAAACTGCTGAGATCCCACCTGGGCTGGCTGAGATAGTGCCTGGGGTGCATCCCTCAGCAGCTGCCACCTGGGCCCTGGGGCCATCTCTTTCTCTGGCAT AAGCAGCCAGGTGTCAAGGCCTTCCCAGCAATCCATGCTGCATGGCTGGGTCTTGTTCTAGCAGGTCGATGGGCAGGGACTGGTAGCTTAGCCAGGGCACCAG GCGTGGCTGTGGGTTTGTGTGCTTCTGTGGAGAAGCATGATGTGTATGTGTGTGTGTGGGCACAGGCATGAGGAAGGGTTCATTTGTGCAGGTATCTCCCATG ATATCAGTGTGGGAGAGTGCCTGAGGATGTGTTTGTGTGTCTGAAAATGGGCGGAGGGTCTGTTGTGCTAATGTGTGCAGGGGTGAACATGTGTGTGACAGTC GTGTGTTTCCCTGAGTGGTGGCTGCGTGAGAGGGTGAGGGGATTTGGTGTTGTCTACCATGCCCGGCACATAGCAGGCTCTTAATAATCTTGAATTTAATTAA GTTAAATGTGTATGTTCCCATCCTTGTGGAAGTTGGTATAGAGCCTGTTTTCCTGTGATTGTGAGACTGGAAAATGGGGGACGGGCAGGGGCGAGACAGGATA AGAGGCTACTGTTTTCTTCCTCCCTAGAAGTAAGTACATAGAAGAGTGGGCTCTGGCACCTCACGGGACATCACCAAGTCCTGTGTGGCTGGCTAGGCTGTCC AAGGTGGCTTCAGGCATCACTTGAATCTTTTGAGACCTTCAGGCAGTAGCCTGCCATTCACCCTGTCAGTCAGCAGAAGTTGGGCCCACACAGGCCATAGAAA ACAGAGCAGTTCCCGGGAGGACCTGAGCTGTCCCTGAGAGCAGAGCTTCCAGGAGAGGCCGCAGGAACTGCCTTGACCGGAATTCCTCTTGGGGTGCAAAGGT GAGGGACACATGGTGCGACCCCAGGCAGAGGACTGCAGCCACTCCGTGCAGTCCCAGCCTCTGGGGTAGCCCCTTGACCTCCAGGCCTGCACAGATCCAAGGC GAGGTCCAGGCTCCAGCGCCAAATTAGCTGGCCTAGCAGCCTGCAGCCGCTCTAATCTCAACTAGGAAGGAATCCTTGCGCTTAGAAAGTCCAAGCGAAAGGG ATTCTGATTTTATCCCGGTTTTACCAGAAAATGCTGAAAGGAAAAGCCCCGAGAGGACACAGTGCTCTAGGAACTCGGGGCGCCACGAGCGCCTCATCCCCTC CTTCCGCCCGGCCGCGGTGCCCTGGTCGCTGAGGGACGCGGTCAGTACCTACCGCCACTGCGACCCGAGAAGGGAAAGCCTCAACTTCTTCCTCTCGGAGTCC GCCCACTACGGATCTGCCTGGACTGGTTCAGATGCGTCGTTTAAAGGGGGGGGCTGGCACTCCAGAGAGGAGGGGGCGCTGCAGGTTAATTGATAGCCACGGA GCACCTAGGCGCCCCATGCGCGGAGCCGGAGCCGCCAGCTCAGTCTGACCCCTGTCTTTTCTCTCCTCTTCCCTCTCCCACCCCTCACTCCGGGAAAGCGAGG CCGAGGTAGGGGCAGATAGATCACCAGACAGGCGGAGAAGGACAGGAGTACAGATGGAGGGACCAGGACACAGAATGCAAAAGACTGGCAGGTGAGAAGAAGG AGAAACAGAGGGAGAGAGAAAGGGAGAAACAGAGCAGAGGCGGCCGCCGGCCCGGCCGCCCTGAGTCCGATTTCCCTCCTTCCCTGACCCTTCAGTTTCACTG AAATCCACAGAAGCAGGTTTGCGAGCTCGAATACCTTTGCTCCACTGCCACACGCAGCACCGGGACTGGGCGTCTGGAGCTTAAGTCTGGGGGTCTGAGCCTG GACCGGCAAATCCGCGCAGCGCATCGCGCCCAGTCTCGGAGACTGCAACCACCGCCAAGGAGTACGCGCGGCAGGAAACTTCTGCGGCCCAATTTCTTCCCCA CTTTGGCATCTCCGAAGGCACGTACCCGCCCTCGGCACAAGCTCTCTCGTCTTCCACTTCGACCTCGAGGTGGAGAAAGAGGCTGGCAAGGGCTGTGCGCGTC CTGGTGTGGGGAGGGCAGCAGGCTGCCCCTCCCCGCTTCTGCAGCGAGTTTTCCCAGCCAGGAAAAGGGAGGGAGCTGTTTCAGGAATTTCAGTGCCTTCACC AGCGACTGACACAAGTCGTGTGTATAGGAAGGCGTCTGGCTGTTTCGGGACTCACCAGAGAGCATCGCCAACCAGAACGGCCCACCCGGGGTGTCGAGTCTTG TAGGGAAATCAGACACAGCTGCACTCCCGGCCCGCGGGCCTTGTGGCATATAACCATTTATATATTTATGATTTCTAATTTTATTATAAAATAAAAGCAGAAA ATTTCCCGAAGAACATTCACATGAGGGCATTACGGGGAGACGGCAAGTCGGCGGCTCGGGGGGCGCGCTCAGCCGGGAGCGCTGTAGTCACAGTCCCGGGAGG AGAGCGCG
chr2:13 TGGAACAAGTGTCAGAGAGTAAGCAAACGACTTTCTGAGCTGTGACTCTGCTCCTCGACTGCCCACGTGCTCTCCGCTGTCTGCACTCCTGCCTCACCTGGGC 723850 GACTCGGACTCTCCACCTCCTTTGCTGCTTCCGGCATGAGCTACCCAGGAGCCTAAGGCGCTCCTTCCCGCAACTCCGGTCCCCGCGCCCCGGGACTGCAAAT
97
0- CTTTAAACAGAGGCCCCAGAGCTAGGGGTTTTCCCAGGCTCTGGTGGGCGTGGGCTGACAGTCGCTGGGAGCCCCGCAACAGGGGGGATGTCCAGGCAGGTAT
137240 CACCCAGCTCCCGGCGTTTCCCGGAGTCACCACAATGTTTCCCTTTCTCTCTCCCCCACGTATGCTGCTAGGGGTACTCCCCAGATAGGATTTTCTTTGTCTT
Figure imgf000105_0001
SEQ
GENE
ID SEQUENCE NAME
NO
GGTGGAGGAGGGCGTTCCCGCGTCCTCCTCTTCAATCCAGAGCAGCTCAACGACGTGGCTCCCTTTCTATGTATCCCTCAAAGCCTTCGCGT
TAGGCTCTAGTGGACCTAGCAGTGGGAGAGCTACTTGGGCTGGTTTCTTTCCTGACGCTGCAGGGATGGGCATCGGCCTGGAACCAGAAGCGCAGGAGCTGGG
chr3:13
CACGGCAGAGTAATTAAGAAAATAATGAAATTGATGGCGGATGGGGGCGCTAGAAATCCTGGGGCGTCTACTTAAAACCAGAGATTCGCGGTCGGCCCCACGG
897160
ATCCCGGCTCTGTGTGCGCCCAGGTTCCGGGGCTTGGGCGTTGCCGGTTCTCACACTAGGAAGGAGCCTGAAGTCAGAAAAGATGGGGCCTCGTTACTCACTT
103 0- CTAGCCCAGCCCCTGGCCCTGGGTCCCGCAGAGCCGTCATCGCAGGCTCCTGCCCAGCCTCTGGGGTCGGGTGAGCAAGGTGTTCTCTTCGGAAGCGGGAAGG
138972 CTGCGGGTCGGGGACGTCCCTTGGCTGCCACCCCTGATTCTGCATCCTTTTCGCTCGAATCCCTGCGCTAGGCATCCTCCCCGATCCCCCAAAAGCCCAAGCA 200 TGGGTCTGGGTTGAGGAAGGGAACGGGTGCCCAGGCCGGACAGAGGCTGAAAGGAGGCCTCAAGGTTCCTCTTTGCTACA
GAGGTTGCTGACTCAGGAGCCAGGAGCTGAGAAACTCCTAGGCTAGCAGCCGTTGAGCCTAATTTTATTTTCTGGCTTTCTCCGAAATGTCTCGTTTCCCTCA CTTTCTGGTCCTTTTCGTCTCTCTTATTTTCCCCAAAACGTCTACCTCACTTCGTCTTCCTTTCTCCTCCCCTCCCCCTCTCTTTCCTCTATACTCTCTTCCC TTTAGCCTTGCAGGCCCCTCCTCCCCGGTGTTGGAGAGCTCAAAGACGCGCGAAACTCAAGGATCTGGCCCTGACCAGGGACGGGATTAGGCGGGAAGTGGTG CGGCCTGAAAAGGCTGGGCTCGAACCCGTGCCTTCCTGAAAGGACTCTCCCCGCCACAAGTCACACCCACCCGCAGGCCTGCTGGCCAAAGAAACAAAGGAGT
104 ZIC4 GGGCGTGGATCCAGGAGAAACAGGTTTTCGCTCTCGGATCTCCCTGGGCAAATCAGGGATCCTGAGCGCTATACCCCGCAGTCGTACGGAGCCTCTGGGAAAG
GGATTTAAGGGTGACTTCCACTTTCAGCTTCGGCTACTTGTTGCCTGCGGTCCAAGCCTTCTCTGCTTCCTCCTACCTCGTCTTAGGCCTCTGTAGAAAGTGC CGCCGCGTTTCCCCTTCCAGGCTCTGAGAGGGCCTGCAGGCCCGTGGCCGCCTCCGACAAGATGCCTTCCAGTGCTAGGGGGGCCACTTTGGCGGGATGGGGG CGGTTGGTTAAAAAAAACTTAAGTTCTGGCTCAGTCGAGTGTGGCAAAAGCCGAGGGTCGGGGGTTGGGGGG
TACTGACCTGGTCTCCGCCTCACCGGCCTCTTGCGGCCGCTGCAGAAGCGCACTTTGCTGAACACCCCGAGGACGTGCCTCTCGCACAGGGAGCGCCCGTCTT GCTGGGGCTGGAGCGGCGCTTGGAGGCCGACACTCGGTCGCTGTTGGACTCCCTCGCCTGCCGCTTCTGCCGGATCAAGGAGCTGGCTATCGCCGCAGCCATA CTGCTCAGCGAGGGCCTCAGGCCCCAGCCTCTACTGCGCCCTCCGGCTTGCGCTCCGCCGGGGCGAGGGCAGGACCTGGGCGGCCAGGGAAAGGGCAGTCGCG GGAGGCAGTGCTAAAATTTGAGGAGGCTGCAGTATCGAAAACCCGGCGCTCACAAGGTTAGTCAAAGTCTGGGCAGTGGCGACAAAATGTGTGAAAATCCAGA GTAAACTTCCCCAACCTCTGGCGGCCGGGGGGCGGGGCGGGGCGGTCCCAGGCCCTCTTGCGAAGTAGACGTTTGCACCCCAAACTTGCACCCCAAGGCGATC GCGTCCAAGGGGCAGTGGGGAGTTTAGTCACACTGCGTTCGGGGTACCAAGTGGAAGGGGAAGAACGATGCCCAAAATAACAAGACGTGCCTCTGTTGGAGAG CGCAAGCGTTGTAAGGTGTCCAAAGTATACCTACACATACATACATAGAAAACCCGTTTACAAAGCAGAGTCTGGACCCAGGCGGGTAGCGCGCCCCCGGTAG AAATACTAAAAAGTGAATAAAACGTTCCTTTAGAAAACAAGCCACCAACCGCACGAGAGAAGGAGAGGAAGGCAGCAATTTAACTCCCTGCGGCCCGCGGTTC GAAGATTAGGAGGTCCGTCCCAGCAGGGTGAGGTCTACAGAATGCATCGCGCCGGCTGCGGCTTTCCAGGGGCCGGCCACCCGAGTTCTGGAATTCCGAGAGG
105 FGF12
GCGAAGTGGGAGCGGTTACCCGGAGTCTGGGTAGGGGCGCGGGGCGGGGGCAGCTGTTTCCAGCTGCGGTGAGAGCAACTCCCGGCCAGCAGCACTGCAAAGA AGCGGGAGGCGAGGGAGGGGGGAGGGCGCGAGGGAGGGAGGGAGATCCTCGAGGGCCAAGCACCCCTCGGGGAGAAACCAGCGAGAGGCGATCTGCGGGGTCC AAGAGTGGGCGCTCTTTCTCTTTCCGCTTGCTTTCCGGCACGAGACGGGCACAGTTGGTGATTATTTAGGGAATCCTAAATCTGGAATGACTCAGTAGTTTAA TAAGCCCCCTCAAAAGGCAGCGATGCCGAAGGTGTCCTCTCCAGCTCGGCGCCCACACGCCTTTAACTGGAGCTCCCCGCCATGGTCCACCCGGGGCCGCCGC CCGAGCTGGTCTCCGCACAGGCTCAGAGGGAGCGAGGGAAGGGAGGGAAGGAAGGGGCGCCCTGGCGGGCTCGGGATCAGGTCATCGCCGCGCTGCTGCCCGT CCCCCTAGGCTCGCGCGCCCCGGCAGTCAGCAGCTCACAGGCAGCAGATCAGATGGGGATTACCCGCCGGACGCAAGGCCGATCACTCAGTCCCGCGCCGCCC TCCCGGCCGAGGAAGGAAGTGACCCGCGCGCTGCGAATACCCGCGCGTCCGCTCGGGTGGGGCGGGGGCTGGCTGCAGGCGATGTTGGCTCGCGGCGGCTGAG CTCCTGGCCGGAGCTGCCCACCATGGTCTGGCGCCAGGGGCGCAGGCGGGGCCCCTAGGCCTCCTGGGGCTACCTCGCGAGGCAGCCGAGGGCGCAACCCGGG GCTTGGGGCCGGAGGCGGAATCAGGGGCCGGGGCCAGGAGGCAGGTGCAGGCGGCTGCCAACTCGCCCAACTTGCTGCGCGGGTGGCCGCTCAGAGCCGCGGG
SEQ
GENE
ID SEQUENCE NAME
NO
TTGCGGGGCGCCCCCCGCCGCCGCGCCGCCGCCTCCCCAGGCCCGGGAGGGGGCGCTCAGGGTGGAGTCCCATTCATGGGCTGAGGCTCTGGGCGCGCGGAGC GCCGCCGCCCCTCCGGCTGGCTCA
GGGGGACACAGAGAGGAGGGGTTGCGGGCCTGTGAGAATGAAGAGCACAGAGCGGAGAGGGGGAGGAGGAGGGAAAGGAAGGCGTGGCAGTGAGAGAGAAGAG AAGAAGAGAGGAGGAGTGGGGAGGGGAGGGAGAGCAAGACAGCAGCGGGTCTGGATTCCCCTCCGAGCCACATCTGGTCAGGTTCTAAGTAATTAGAAGATTT CCCATTGGTTTACCCAAGGGCTCTCTCTCTGATTAATTTTCGAAAGAGTTGGCCAATTTTAATCATAGCAAACACGATGATCACGGTGATCATGGCCTGAACA CTAAAAGCAGAAAATAAAACCCCCAGAACGGACTATGATCTTGACCTTTGCCCGTGGTCACCGGCTGGGCCCACACCCAGGGTTCTGAGCTGTTGGGAGCCAA
106 GP5
GCTGGGTGGACAGGGGCTTCCGAGGAGCTGTCCGCAGCGGGGCGGGGAGGCGGGCCCCGGGGGCCCGGGCACTCCGCGTCACCCCCCGGCAGGGCCCAGAGCG CAGGCCGGCGTGCGCCCCAGGGCCTGCGCACCGTGGGGGCTCTTCCCCGCCCACGAGGCCTAGGTGCTGCCGCAGCCACCCCAGGAAGGGCCCCAGGCCACAG CGCAGCGCCAGGAGTTGTGCCCCAACAGGACCTCCGTCAGCCGGGGCAGAGCCCCAAACACGTCGCCAGGCAGGGTCTCCAGCTGGTTGTGGTCGAGCTGGAC CTCTCCAGGCTGCTGAGATTGCGGAAGAGGGCACGGGGCAGGGCGCGCAGCCTGTTGCGGCGCAGGGACACC
GCCCCGGTGCACCGCGCGTCCAGCCGGCCCAACTCGAGCTAGAAGCCCCAACCACTGCCCAGTGCCTGAGTTGCAGTCTTGGGTCCTTTAGAAACCTGGAGAT TGCGTAAAATTCAGATGCCGGTATTCCCGAACTTCCCCAGGCCTCAGCATATCTCGGCGGCCTGTGGACAGATGGGAGGCTACCAATCGCTCCGGCGTCCGCA CCCGACCCCTGCCGCCAGACCCCGGACGTCTTCCGGATAATAAAGTTCCCGCTCTAATTCATTTTCCCTAATCTGGACGCCCCTAATCTACAGCTTTTATTGC
107 MSX1
CCCAGTTAAAAGTCGAGGGAATTCGCTGTCCCTCCGCGCTCGGATAATTACCCCTAAATGGCCACGGCAGCCCCTTGTGTTTCCTGGAGATTAGAACCCCGCA TCATCAATGGCAGGGCCGAGTGAGCCGCCAATCACCTCCGCTCACTCCCTGAGAGCCGCTGGCCTGGGCCGCAGGAGGAGAGGCCATAAAGCGACAGGCGCAG AAATGGCCAAGCCCCGACCCCGCTTCAGGC
AGGGTGCCTCTGTTCAAATTAGAAAAAGGCGCCCCCTCAGGGCAGACTCAGCCCAGCTGCCAGGGGACAAGTCCTGGCTAACGGGAGCTGGAGCTGGGTTTCA CTCCAGGTGCCTCCTTGGCGGGGCGCCCCGTGCAGGCTACAGCCTACAGCTGTCAGCGCCGGTCCGGAGCCGGAGCGCGGGAATCACTCGCTGCCTCAGCCCA GCGGGTTCACTGGGTGCCTGCGGCAGCTGCGCAGGTGGAGAGCGCCCAGCCTGGGAGGCAGTAGTACGGGTAATAGTAGGAGGGCTGCAGTGGCAGAAGCGAG GTGGCCGCAGCACTTCGCCGGGCAGGTATTGTCTCTGGTCGTCGCGCACCAGCACCTTTACGGCCACCTTCTTGGCGGCGGGCGCCGAGGCCAGCAGGTCGGC GCCATCTGCCGGCGCTTTGTCTTGTAGCGACGGTTCTGGAACCAGATTTTCACCTGCGTCTCGGTGAGCTTCAGCGACGCGGCCAGGTCTGCGCGCTCGGGCC GGACAGGTAGCGCTGGTGGTTAAAGCGGCGCTCCAGCTCGAAGACCTGCGCGTGGGAGAAAGCGGCCCGCGAGCGCTTCTTGCGTGGCTTGGGCGCCGCCGGC CCTCCTCCTCCTCCGCGACGCCTGCCGGCCCGCTGCCGCCCCCGCCGCCGGCCCCGCTGCACAGCGCGGACACGTGTGCACCTCTGGGGCCAACACCGTCGTC TCGGTCCTTGGGCTGCGGTCGCCTGCGGACCCCGGTGGGAACAGAAACAAGAGACTGTCAGCGCCACAGACGAGGTGAGGCCGGGCCTCAACTGCAGGGGTCA
108 NKX3-2 GGGAGTGGGGCGGAAATACACTTTGATCCCACTCAAGCGGAGCGGAGGTCTGGGAGGCCCTGGGCCCGGGAGACCAGTCTTAGACTCTTGCCCCACTGGGTAT
CCATCTAGGCCTCTTCTGGGGAGGGCGGCAGACTCAGCCGCTGTGTCAACGCTGTGTTGTCGAGACCAGCTCCCCACCCTCTCTGGGCCCCAGGCTCCCCTCA TAACTTGGGGCACTCGACCCGAGCATCCGCGAAAGCCCTCCCGGCTCTCAGCGTTGAGCATTGGGATTCTAGACTGCATTTCCGTCTCTCTGCTTGGGTTCAC CGCCTCTCCACACTTAGTTCACACGCACACACGCGCGCGTCCTCGCAGCACACACTTGTCTGGTGCAGGTAAGGGAAGGTGGAGGCGGATCCTGGGGCCAAAG TATTTAGAATCTTTCACCCTCAGCCGCCTGGGATTGCTGTGAGAGACATGGAAACAGGCTGAGCCGAGGCCTTAGATGAGAGGATGGACTGGAGAGTAAAGAG GAGGGTTGCCCCTGCATCGAGTTTTTGGACCCTGATCCCACACCAGCTTCTCGGTCTCGTACCCGCCCTTCCGAAGAACTCCAGCAGAAAGGTCCAGCGGTCC CTGTGCTTGAGGCCTACAGAAGCTTGTACCCAACTAGGGCAGGCACCCGGGTCTTCCAGACCACAGGACAGGACAGGCCACGGCTGAGGAGGCCTCTCTCCTG CTCCAGGATGAACTAAAGACCCAATCCGGGATCTTCGGCCTAGGGCTGCTCTCCCAGACCTGGGGTCTGAGAAAGCCAAACCAGCCCTTTCCCCAAAGCTCTA TTCTGCAGATTCTCAGCTCTGGCCCACTCGGAGGTGTTCTTCACCACCTATCCACCTACTGTGGGGCCCGGCCCTGGGACCTTGAACTGGCAGGTCTCTGGTC
SEQ
GENE
ID SEQUENCE NAME
NO
AGAGCTAGGTCAC GGC ACCTGAGGTCTCTGAACCCCTCAC TTTCCGCTTCCC GATTTTGGGGATTTGGGGACAGACACGGCAGAAAGCACTGGCGACGA CTCAAAAACTCCCGAACGCAAGGGGCAGCGGTTCTCCCAACCCAGTCTAATGCACATTGGCCCAGGATGTCTCAGGCCTCACCCCAGGACGTAGGGCTCTGAG AGCTACTCCGGTCTCTCGCGGGCT
GAGAAGGGATGTGGCGGGGGGCTCCTCCGGCCCTGGACTCCCTGGGTGGACTAGAAAAGGGCAAAGAAGTGGTCACATCTGTGGGCCAGACTGGTGCGCGATC TTGGAGGCGCAGCAGCAAGGCCGCGCCAGGGCTGAGCCCAGACCGCCCACGAGGAGGCCCGCCAGGCCCGGAGCAGCGGCGCGTGCGGGGGCGTGCCGAGCGC GGCTCTAGGGCCCCTGCTTCGCCCCAGCTGGACCCCGCGGGCGGTCGGTGCAGCTCGAGCGTGTGGGCTGCGATGCCCTGCCTGAGACTTCGGGCTAGGGATG
chr4:ll
GGGCGGGAAGTGGGGGTGCGGCGGCAGCTGCAGATTAGATTCCTTTTTTTTTTGGCCGGAGGGACGTGCAAACTTCTAGTGCCCGGGCCAAGAGGGCGACCCC
175200
GAGGTGCGTAGGTGGCCCTCCGGGTTCCCGCTTCTCCTAGTGCCTCTGAAAATACCGTCAGGGTAAAGGGAGACAGGCAGTAAGTCTTACCACCACCGCCCTT
109 0- CCCCATGTCATTGGCCAAAAACTGAACATTAAGATAAAGCAGCTGTTTCAGTCAATGGAAAGCGGTAGGGCGAGGTTGTACCCAAAACCCGGTTTAGACGGCC
111753
ATGAAGTCCTAGGAAAAGCCGCCCCGGGGGCACGTTCAGGTGGAGCGGCTGCACCTCGGGTCGTTCTAAGGGATGGGCTGCGTGGTACCCACGGAATTCATGG
000 TCCAAAAGGTCCTGGTCACCTGTCCAAACATCCATCCCCTGGCGCATGGCGGTTGACAAGATGGCCCGGCCACCCAGAGGAAGGAGGATCCGGGACGGGGAAC
TCGCGCCGGGAAGCTGTAGCCCAGAGCTGCAGCTCAGCATTCGCAAGAGATTCATCTTTTTTTTCTCTCGTGTTCGGAGAAACAGATAAACAAGACACCGCCT ATCAGATAAGAACGTCTCCTTCGATGTCACGGATTTCAAGAGGTAGCTGGAGAAACTGACGTCA
CAGGTCAGGCAGAACTTCTGCCCTTCCCGCTACTGGCACCCCAAGCAGGGATGCACTGGGATGCGTGGCAGGGGCGGGATCTCCTGGGAGCGTCTCAGCCCAG AGGGAGTGGGGAAGCAAGAGGGAAGGCTTACCTTCCTCGGTGGCTGGCAGGAGGTGGTCGCTGCTAGCGAGGGGGATGCAAAGGTCGTTGTCCTGGGGGAAAC GTCGCACTCAAGCATGTCGGGCCAGGGGAAGCCGAAGGCGGACATGACCGGGGCGCAGCGGTCCTTCACCTGCACGCAGAGCGAGTGGCATGGCTGGATGGTC CGTCTAGGTCATCGAGGCAGACGGGGGCGAAGAGCGAGCACAGGAACTTCTTGGTGTCCGGGTGGCACTGCTTCATGACCAGCGGGATCCAAGCGCCGGCCTG TCCAGCACCTCCTTCATGGTCTCGTGGCCCAGCAGGTTGGGCAGCCGCATGTTCTGGTATTCGATGCCGTGGCACAGCTGCAGGTTGGCAGGGATGGGCTTGC ATTGCTGCGCTTGTAGGAGAAGTCGGGCTGGCCAAAGAGGAAGAGCCCGCGCGCCGAGCCCAGGCAGCAGTGCGAGGCGAGGAAGAGCAGCAGCAGCGAGCCA
110 SF P2 GGCCCTGCAGCATCGTGGGCGCGCGACCCCGAGGGGGCAGAGGGAGCGGAGCCGGGGAAGGGCGAGGCGGCCGGAGTTCGAGCTTGTCCCGGGCCCGCTCTCT
CGCTGGGTGCGACTCGGGGCCCCGAAAAGCTGGCAGCCGGCGGCTGGGGCGCGGAGAAGCGGGACACCGGGAGGACAGCGCGGGCGAGGCGCTGCAAGCCCGC CGCAGCTCCGGGGGGCTCCGACCCGGGGGAGCAGAATGAGCCGTTGCTGGGGCACAGCCAGAGTTTTCTTGGCCTTTTTTATGCAAATCTGGAGGGTGGGGGG GCAAGGGAGGAGCCAATGAAGGGTAATCCGAGGAGGGCTGGTCACTACTTTCTGGGTCTGGTTTTGCGTTGAGAATGCCCCTCACGCGCTTGCTGGAAGGGAA TCTGGCTGCGCCCCCTCCCCTAGATGCCGCCGCTCGCCCGCCCTAGGATTTCTTTAAACAACAAACAGAGAAGCCTGGCCGCTGCGCCCCCACAGTGAGCGAG AGGGCGCGGGCTGCGGGAGTGGGGGGCACGCAGGGCACCCCGCGAGCGGCCTCGCGACCAGGTACTGGCGGGAACGCGCCTAGCCCCGCGTGCCGCCGGGGCC GGGCTTGTTTTGCCCCAGTCCGAAGTTTCTGCTGGGTTGCCAGGCATGAGTG
chr4:17 TGCGATCATTAAAATCAGTTCCTTCCCTCCTGTCCTGAGGGTAGGGGCGGGCAGATTTTATTACTTCTCTTTTCCTGATAGCAGAACTGAGGCGGGGTTGTGG 466430 GGAGCGACGGAGGACCACCTCTAACTTCCCTTCACTTCCTGGATTTGAAGCCTCAGGGCCACCGGCCTCAGTCCTGTTACGGTGGCGGACTCGCGAGGTTTTC
111 0- AGCAGCTCATTCCGGGACGGCGGTGTCTAGTCCAGTCCAGGGTAACTGGGCTCTCTGAGAGTCCGACCTCCATCGGTCTGGGAGCGAGTGGTTCGAGTTCAGA
174664 GCTGGGAACCGTCGCTTCTCCCCGGCCGGGCTCGCTGTTTTCTCCTCCGCTCGCCGTCATCAAGCCCGGCTATGAGCAGGGCTTTAAATCCTCCCTCCCTCAC 800 CGCAGGTTTACCGAGCAGCCCCGGAGCTCTCAGACATGCTGCGCTGCGGCGGCCAGAGGAGGGGTGGGGGCATTGCCCTCTGCA
chr4:17 GGGCTTGGGCCGCAGGCTTCCCTGGACTTCCGCAGTCCCCCTTCTCCCCATTCCAGAACCTGCCGAGCCCCTGCTGCATCTGGGACCCGCCTTCACCGTTTCC
112
467630 AATCCCAGCGGTTAGCCCCTGCGCCCCCTTTTTGGTCTCCACTTTGCCGTTCGAAAATGCCTAGGTTGGTGGATCGACCCTCCGCGGAGCAAAGACGGATGGC
SEQ
GENE
ID SEQUENCE NAME
NO
0- GGCAGGAGCAGGTTCAGGAGCTGGGCCAAGGTATTCTCTGCTTCCGCCTTTGTGTCCGCCCCCCCGCCCCCTGCTCCCCGCTTCCCGCCAGCATCTCTCCTTT
174676 CTGCTCAGGAGTGTTTGGCCCGGCGGTCCACCCCGGCTTCCCGAGATACGCTAGAGTTGCCCCCACGTCCTGTCCGCCGCGCCCCTACCCACCGGGTTGCCTT 800 GGGGCCCTTCGGTGCTGTGTAGTCGGCGTGGCGCTGTGAGCTAGGCGAACAGGAACCCCCAGGCCCGCCACGTCTACGCTATTA
TTCTGGGGCCTGGATGGGTGCGAGCGGGACCCGGGGGAGTGGGAGTCGCCAGGCTCTGAGCAAGCAAGGGCTGCACCTGCACCTCTGCCGGGCATGAAGAAAG TAAGGAAGGAAGGAGCTCACCCGGGTGGGAGACAGAGCCGGGGCGCGCGAGCTTGGTGTGGGGGCGCCACTCCGGGGCGGAGGGGAGGGGCTACCAGTGACTT TCCGAGTCGGGAGCTAGAAAGAGGCTTCCGGCCAGGTTCCCTTGGAACAGGTGTCGGAGTTGTTGGGAGAGGGGGCTGCAAGAAAGAGGGGTGCAGAAACTGG
113 SO BS2
TCATTAGATGGAGGCTCTGGGCGGAACCGCGAGGACACCCTGGCAGCGCGCTGTGCCTGCGTTAGGCCGGGAGGGGAGAGGCCTCCGGACGGCGAAGTGTCCC AGGGACCCAGACGCCTCGGGAGCGATCCGGGCCGCTGCGAAGCCCTGCCCACCAGGAGTGGATCCCCAGGATTCACCTCCCGGCTGCCTGCTCTGAGCTGAGA GGGGATCTGGTTCTTCACAATACCGTGGATGGCGGGGAAGGGGAGGGAGCCTGGGGTAAAATCCCATCTTGGTTTCCTCG
TGTCACAGAAACCCCAGCAGCGCAGCCACCGGACTGGGTTCTGGAGGCCGAGCCGCAGTCCGTGCGGCGGCGCTGGGAAGAGAAGGCGCCCCGGCAGCTCCCC GCCACCGGCCCCGAGGAGCGGCTGGCTCCCCCAGCCCAGCGCCGCCGCCGCCCGGTAACTCCAGGCGCAACTGGGCGCAACTGGGGCAGCTGCGACACCGAAT CCTCACATCTGCAACCTGGGTGCTGCGGCCACTGAGAAAATGGAGGCGCAGACCAACGAGCGGTGCCGCGACCGAGAGACCTCGGCTGGCGAAATGGTGGTGC GGGAGCCTGCGAGTGACGCCAGCCGGCGGGGTTGTCAAGGACAACATTCGTTTTGACGCAGCCAATGGCGCCGTCACCAAGAAACCATCGACTCTGAGAAAAA GAGAGGTTCGGCCACCGAGAAACTCCGTACGACAAGTGCTGTGGCAGAAAAACCGCCTACTCCGCGCCACAGGCAAAACAGCCAATGGAAACCCCAGGTGCTG
chr5:42
GACCGTGACACCGGCACTAGAGGGTCTCGGATGGAGAAAGCGGCGCACGGAGACCAGGAAACTATGTGTAGCACAACTAGCAGAAAACCGTCTGGTCGGCCAT
986900-
114 CGGGAGAAAGCGCGGATCAGAAACAAGCGACTTCGATGCAGGGAACCGCGCAGCCACTGAAGAAAGTGACCCACGTGGCAGTGGTGCCAGCGAAACACTGCAG
429882
TTGGACGGCAGCTGTGGGGATGCCACAGAGAAACATGCACTGCCACTGAAGTACATCCAGCTCCGCGGAGCTAGTGTTCATATGATCAAGAAACCGCCAGTTG
00 GCTCTGCTAGAAACTTTTAGTCCTCCCTTAACGGCTATCCTACCCACAACAGACAATGCCTTTACCCAGCACCTAGCGGTGCTGAGACCCGCCTGGGCCAGCA
AGAGCGCAGAGCAGTACGGGTACGGAGAAACGCCGGACTCAGTGAAACCAGCCTTGCCTCCAGCGGATTCCCCGGCTTCGCCGGACGCCACAGGCAGAGTGCC CGGGGAAACCTCTGGCTCCCTAAACCGATTAGATTGTGGGAGTGGGGGGGACACTCACAAGTTGTGTGGAAGGGAACCAGCGGCAATGGGACCCGGCGAGCAC TGCCCGCAGCAAATGCCTGCGCTGCTGCAAAAAAAACAACTTTTGGCGCAAAGAATGTTGCGGCCAGAGAGCATCCGCTGTCGCTGACAAAGGAGTAGCAATG CAATGAGAAACCGCCGGCGCCACGGCCGACCGCGGCGGCTCACGCCTATGAT
CAAACGCTGAGAGACAAAAAGACACCAACACCCACCAGGACTGCGTCCTGCCAGCTCTTCACTCCGCTGACCTGACCTTCCACGCCCCTAGTCCTCGAGCGGA TTGACCTGTGGGGGAGTACCGAACCGTCCCCATGAGGCCCTCCAAGCGGCCAGGTGGCCTCCGCCACTCTCTCCACCCCCACCTCCTCCACCCCCCAGCCCAT GGTCCATCTTCGATCTGCAAAACACGCCGGGTCAGCGACGCATCGGTCCCAGGCTTGTGACCACCTCTTTCTCTGTTACTTGGGGAGCCAGGCCCACCGCTCA GATCACAGTGAGGAGAAAAAAGACACAAACGCCAGGACAGGGCGGCTGGGGAAGGAAACTGCTAGGGACCGCTCATTGTCAGCCTGGCGTGTCCCACGGATCG
chr5:72
AGGACCCGTCGAGGCTTTGCTCTCTGCGACCCGAATACTCCTGGGCCTCTCGACCTCCTCCTCGGACTCAGGCGTCCGCGTCTCCGGTCATCACGGGAGACCA
712000-
115 TTGGTTTACAAATAGTGATGATAAACCTGGGACCGACCTTGGGGCTGTGTAAAAGTCTACTGACAGATGTAATGGAGGGTTGTTAGCAGTCACAAAGCCTGTC
727141
GACCCGTAGCATTAGTTCAAGAGACTATTTTCGTGTCGCACCAAAATTACTGCGCGTGTAAACCAATTTCCCCGACGGAAGAATAAACAGAGATTCGTTTGAA
00 CGCGAGATGAAAACAGATGGGGTATCGCAAACAGTTCCCCAAAATACAACAGACTTCTGGGCCAATTACACGTGGTTAGCTCTGAATGGCAGAGGAAATAGTT
TCTTTGCTGCTAAATGTCACAAAAGTCACCTAAAGGCACAGAGGAGGCCGCTCTGTTTTTGCGAAACTTGCTAAAATTAATCTGCGCTGGGCCACTTGCAGAA GCAGAACCACCTCCCGCCCCCACCTCGCCTCCAGCCGCCGGGGTTCAGGCGTTTGTGAAAGACAGAACCTTTGGGCTAGGGACCCGGGCACTGGTGCTTCGAA TCCGAATCCGCCGGCCGAGAAAACGACAAGAGAAAGAAAATCCAGCGGGCGCTCTCTCCAGCGCCAGGCCGGTGTAGGAGGGCGCTGGGGCTCGGCCTGCCAC
SEQ
GENE
ID SEQUENCE NAME
NO
CCTACCCGACATTGGGAAGCAGCCCCTGCGCTCCCGCGGCGCCTCAGCCTCCGGTCCCCGCCCCGAGGTGCGCGTTCCTCCTCCCGCATGCCCGTCTCGGGCC CACGGAGCAAGAAGA AGACGATGACGAGGCGCGCCCATCCATCCGGGCCGACGAGGTCAGGCCCGCGCCACAGGCAAAAATTGCGCAAGCCCGGCCGCAGGG TTTCGCGGGCGCCTGGGTCCCAGGTGCGCGGCCGAAATCCTCAGGGAAAATCCCGAGGGGCCAACGGTCTAGGCCACAGGGCTGCTGGGCCCGGGCCTGGCTC GAGCGCATTCGGGCGGGGAGGCCGCACGCCGCACCCGGGCCTCTCCTCCGAGCCCGAGGCAGGCACTGAGCTCCGGGCCAGCCAGGTGCCTCCCGGCTGGTGC AGACCCCGGGCCTGCTGGGAGGCGTGGGCAGGGCAGGGCAGGGCTGAACCCCAGCGACTGAATCTCGAAGGCAGGAGGCCTCGGAGGTCATCGGCCCAGCTCG CTGAAACTGTCCCTGCTCGTGCCAGGGCGCGGGCAGAGGAGAAAGGACAGGGCGGAGCAAGCCCACTGCAGAACTGCGGTCGGTGGCTGCGAAGGGTCCGGGT ACCGCGCTCCCGGACGCCGGAAGCCGCGCTGGCGGGGCCGCGGGGAGGGAGGCTGGGTACCGGGGCCGTCCGGCCGGAGGAAGCGGCTCCGGCCGCGCTGTCC CGCTTGGGAGCCGCGTGCAGGGTTCAGCCGTGTTTCAGTTGCCCTCTGACCTGACCCCGGGCGCACAAAGGCCTCCCGGGTGCGCCGCCATGGCCCAGTCTTC AGTCGCTGCCAAATTAATGAGCCCACGTCAGGTTGGGTTTACAGCTCGGCCGGGAAGCAGCCGAGTGGAAAATGAGCTCGGGGCCGCTCCAGAGGCTCCCGCA AACTGCAGAGGCTGCCCGCG
chr5:72
TTTCCAAGACAGAAGGAGGGAACTAGGCGCCTTTTTTCCACTCCGCTGACCCCAACGTCTGGGCTGTGCGTTGTAACGCAGTTGGCGGGGCCTTCAGCTTGGG
767550-
116 TGAGGGCGAAGGGGCTCGGGATGGGTGGGAAAGCAAGGACCGGGCAACAGGTGGGGAGGTGGCGGACTTTTGTCTCGGGGAAGGAAATCGGCTGTGCTGAAAG
727678
GCGGAAAGCAGTAGCGCACAGAACTAGTGTCTGCGGGGTCCC
00
CCCTCCTGTGGCTGCTTGGGCAGACGCCTGTGGCCTGTCGGATGCGGCCCACATCGAGAGCCTGCAGGAGAAGTCGCAGTGCGCACTGGAGGAGTACGTGAGG
117 N 2F1 GCCAGTACCCCAACCAGCCCAGCCGTTTTGGCAAACTGCTGCTGCGACTGCCCTCGCTGCGCACCGTGTCCTCCTCCGTCATCGAGCAGCTCTTCTTCGTCCG
TTGGTAGGTAAAACCCCCATCGAAACTCTCATCCGCGATATG
TCCTCCTTTGTGTATGTCAACCCAGAGGATGGACGGATCTTTGCCCAGCGTACCTTTGACTATGAATTGCTGCAGATGCTGCAGATTGTGGTGGGGGTTCGAG CTCCGGCTCTCCCCCATTGCATGCCAACACATCTCTGCATGTGTTTGTCCTAGACGAGAATGATAATGCCCCAGCTGTGCTGCACCCACGGCCAGACTGGGAA ACTCAGCCCCCCAGCGTCTCCCTCGCTCTGCTCCTCCTGGCTCCTTGGTCACCAAGGTGACAGCCGTGGATGCTGATGCAGGCCACAATGCGTGGCTCTCCTA TCACTGTTGCCACAGTCCACAGCCCCAGGACTGTTCCTCGTGTCTACACACACTGGTGAGGTGCGCACAGCCCGGGCCTTACTGGAGGATGACTCTGACACCC GCAGGTGGTGGTCCTGGTGAGGGACAATGGTGACCCTTCACTCTCCTCCACAGCCACAGTGCTGCTGGTTCTGGAGGATGAGGACCCTGAGGAAATGCCCAAA CCAGTGACTTCCTCATACACCCTCCTGAGCGTTCAGACCTTACCCTTTACCTCATTGTGGCTCTAGCGACCGTCAGTCTCTTATCCCTAGTCACCTTCACCTT CTGTCAGCGAAGTGCCTTCAGGGAAACGCAGACGGGGACGGGGGTGGAGGGCAGTGCTGCAGGCGCCAGGACTCACCCTCCCCGGACTTCTATAAGCAGTCCA
PCDHG CCCCAACCTGCAGGTGAGCTCGGACGGCACGCTCAAGTACATGGAGGTGACGCTGCGGCCCACAGACTCGCAGAGCCACTGCTACAGGACGTGCTTTTCACCG
118
Al CCTCGGACGGCAGTGACTTCACTTTTCTAAGACCCCTCAGCGTTCAGCAGCCCACAGCTCTGGCGCTGGAGCCTGACGCCATCCGGTCCCGCTCTAATACGCT
CGGGAGCGGAGCCAGGTGAGGGGCTCGGCGCCGCCCCGGGCGACCCCTGGGGGCGGCACTGGAGAAGCCGCCCGTCCTCATAAGGGATTGAACTTGCATCCAC CCTCTCCGGCCGGCTTGGTCGCTGGCTGCGCTCCACCCGATTCTCGGGATCATTGGACCGTTTGCGCGAAACCAGAGTGGCCGATTAAGGGATGGGGCTCCGA CACCGGGGGTGGTGGCGACTGTGGGCGAGGGGAGGTGGGACCGACCCCCACCCCTACACTCAAAAAAGGCCGGGGCCTCCTTCGAGCTTCCGGTGAATTTCGG CGATTTCCGCGGGTGTCGGGGGTCCCGGGAGGAGGCAGTCACAGATCCACCCCTGCAGCCAGCCTCCTAGGCGCCGGCTCCGGCACGCTTCGCCGGTCTGTAG TTTCCTCTTCGATTTCTCCCCAGCTCCCAGCATCTGTGACTTCACTGTTACCCTCCCTATCCCCGCATCACCCAACCGCACCTGTCTGCGGGACTTAGGTGTG GCGCGGGGCTCATGCGTGTCCTCCCTGCTGGCCACCCCCACGGCCCACACAAGTTGCACGGGCTCGCCACGCCCCGCCAACACGTGCGCGGACGCACGCACGC CTCCTCGCACGTGGGCTTACGCGAATACCAGCTTTCACTGCCACTCGCTCGCGGCCAGATTCACAGGCCTGTTCCGGTCCACTCGCAGCTCCCCTCTGCCGCT
SEQ
GENE
ID SEQUENCE NAME
NO
CCTCCGCCGGGCTCAGGAGTACTCGTAGCTGATTGTGCGCGCCTGAGGGTCCCAGATCGCGGCCGCCCAGGACCAGGCGAGGACTCCGGAGCCTCCTCTCACC CTCCCACCTGCGCCCCGGGCTGGGCCGGGTCGCCTGGGGGGCGGCCTGAGCGAGGCGCGGGGCCAGGAGCGCTGGAGCGACTGCCGCTCTAAGTGCCGGGCGG C AGGAC TC ACGATCCTTGGGC C AGAGGT C CGGATGGTCCC GGGAC T C C GT C T C AAGGGT C GGC GAC C C C T C AAC C C AGAAGC C T C GAGC AGGC GGAC AGGC A AGCTGCCCAGTGGCCGAGGCGCGG
ATTTGTCGTTGTGCCATTGCTGCCACTGTTGTTCTTGTCCAGGGAAACACCGGTGGCCAACCCAGATCGGATACAATGGTGCGGCTCTGGACTGAGCCTCCAA CACATTAGCCATGGGCAGCATTGTTGCTGCCGCTGCTGTTATTTTAATTATGATTGTACGTTAACCACCACCTTCCTTCCTCTGCCTCCCTTCAGCTGCAATG TGTATGTTACTTTTTGGTAACTGGATTTCATTAACATTTATGAACTCTCATAAAGTAGTAGAAAAAGCAATTTGTGTGGAAGAATTTTCCACCTCATTAAACA TGTTCTTTTGGGGGTCAAGCTGATATTTTTTTTGTTGTTAGATTTTTTTTATAGGTCCTTTGTCCTTCCCTAAGCCCTGGGGGATGAAAGGAGAGCCGTCCAC
chr6:10
CAGCGAGGGGCTTGTGTGCCCTAGAGGGCGCTGGGCCCCGCGCGCTTTCCTGGCTGTCCCCGCCGGCTTTCCACCCTCCCCAAAGCCCAGGTGCCCACCGTGG
489100-
119 TCGCTGCGGCCTTTCCCCTTCTTGGCCAAATCCGATTACTTCGCAGCCTGCAGATGGCATCGCCGGCTAAGGGCAGCCTGCGGCAGGTCCCCGAGCCTGAGCA
104902 TCCTCCTATCTGGGGCCTGAGAGGACGCTCTGGGCTTTTTCCCAGGCCCAGGGTGCGCGGCCTGCTAGCGCCTTTCGAGGCACAGTCCCAAGATAGGCTCTTG 00 C C T T C GAC GC C C C C T T GGC AC AAGC GC AC T GGC GC C C T C C GC T C AAC C C AC C T T GC C T T T GGGGC GGGC T T C AAC C C T GGGAAGAC AGGC C T GGGGGAAGC GA
AGGAGAGGCCCGAATAGAGGTTCCGGCTCAATCTTTCCCAGACGGAGGCCTGGTGTTTCCAGCTCAGTTGCATCTTCCAGCCGCGGGCTCCTGGCCCAAACAG ATGTGTTTGCTTTCACACCGGGACGGCAAGCGGAGTCCGCCTCAGTGAGCAGCGAGCTGCGCAGTCCGGACGGGTGTCGCCCCCAGAGACTCGCCAGCCGCCC CAGACACTCGCCAGCCGTCCCCATCTCTAATCCACCGTCCAGGCCCGGGCCCTGGGAAGA
CCGTGTCTCCCTTAAGAACTGGGGCCTCATCTCCACTCCAGCTGCGCGTGCACGTGTGCTCCCGGCAGGACGCGCGCCCAGGAGCGCGCTGGGGGCTGCCCCG CCCTCTCTCCCTCCCCCGCGGGTAAACTCCGGGCATCCATCAGTCTGTTAATTGCACTAATTAGAGATCGCAGAGGTGTTAATTGGAAAACCCTGGTATTGTG CTGTTTGGGGGAAGAAAACGTCAATAAAAATTAATTGATGAGTTGGCAGGGCGGGCGGTGCGGGTTCGCGGCGAGGCGCAGGGTGTCATGGCAAATGTTACGG TCAGATTAAGCGATTGTTAATTAAAAAGCGACGGTAATTAATACTCGCTACGCCATATGGGCCCGTGAAAAGGCACAAAAGGTTTCTCCGCATGTGGGGTTCC
120 FOXP4 CTTCTCTTTTCTCCTTCCACAAAAGCACCCCAGCCCGTGGGTCCCCCCTTTGGCCCCAAGGTAGGTGGAACTCGTCACTTCCGGCCAGGGAGGGGATGGGGCG
TCTCCGGCGAGTTCCAAGGGCGTCCCTCGTTGCGCACTCGCCCGCCCAGGTTCTTTGAAGAGCCAGGAGCCTCCGGGGAAGTGGGAGCCCCCAGCGGCCCGCA AC T GC C T CAGAGC GGAAGAGGC AGC CGCGGCTTT GAC CCAGCTTCCTTCC GAC GGC AT C T GC AGGAGC CTCTAGGCCT GAC AT AGGC T C C GAGGT GC C C T GGC CCCCCACGGGGAATGCTGAGGGTTGGGCCACTAGGTCCTGCCTAAGTGCAGGACCTGAGCCTCAGACAAATC
chr7:19
GGGATTGCCGGCTTTGAGAAAATATGAAGAAACCGATTTCTCCTTCCACTTTGCCAGTGCACTTTCCTTCCACTTTCACTGGTGCTGGGGGCGGCGCACTCTT
118400-
121 ACGACATATAAGCGGAAAATTCTGCAAAAGTGGCCCCCGGGGATCCCCGCCCGACCCCTGTCTGTCGCTAATGTGGGCCTGTCTCCGGAAATTCGAGGTTGGG
191187 CTTTGCCTGAATCTGTTGCTATTGCTCCCCTTGCTACCGCTGACACTTGGCACCGCCGCCTCCTAGCAGCGGCCAGACGCGGGGCTGGGGGC
00
chr7:27 GTTGCGAGCGCGGCACAGGTTGCTGGTAGCTTCTGGACTCTGGAGGCTTGGCCTTCCTTCTAAGCCGATGGCGGGGAAAGAACCTCGTTTCCACAGCTTCCCC 258000- ACCCCCGCCGCTTGCCATTTGGGGACGGGAAGCGCGCCCGGGTCGCTTCACGTCCCTCTGGGCCGGAGCCCTTTCCATGGCTGGCTCCTCTGGGGGCCCTTGG
122
272584 CCTGTGAGCAGCGTCTACTTCCCTCAGAGAAGAATCCTTTCCTTCCCCCATCGAAGTGTCCCTTTCTGTATCCTGAAATAACCCCTCCTGGGTGAGGCCAGTT 00 CCCTCTGTCGCCCTCCTCCCGCAGGCGTCCGGGAGCCTCGTGAGGACCCCGTGCAGTTGAGTCCAGGCGACAGGTGCCTCCCCAGGTG
CAGTGCGCCCCTTACCGGAGCACCCATGGCCTCCCGCGTTACCCCAAATTTTGTAGGCAGACTGTCAGAGTTCGAAGCCAGCTGTGTCCTCTGCGGGCCGTGT
123 TBX20 ACCCTAGGCTATCTGGGCTGCTCGGAGCCTTAGTTTCCCTAGTTGTGAAGAGGGAGGGTGTGACCATGGCCCGGAGCTCTCCGAAAGGCTGTGCGGATTGCTC
SEQ
GENE
ID SEQUENCE NAME
NO
GTGGCGGGATGTGGAGCGCGTCTTCTATGATGCCAGGTGCTGGCCAAGCGCTCGATGCAGGCTGCTCCAGTTAGGTCGATGCGATGGCGGGAAGCACTTTCCT TGCAATGGAGAGACGCCGACACCCCGAGCCCGAAGGCTTGCAAGGCGCGCTCTCGCCACTGGGGTCGGGGATCCGTGGGTTCTCTATCCCGCTTACCCACTCC TCCTTAGCAGCTGTCGTCGGTCCCAGACCTCTACCTTGGAGAGACCAAGGCGGCCCAGAGCCCAGGAGACTACTGCGCGGTACGCCAGGATCCAGAAGTGGAT CTGACTTCTAAAGACCCCTCCCAAGCCAACGCTATCAGGGTCCCTGCAAGCGGTTGACTGTGGCGGAGGCAGAACCAAAACCTTTGCTCTGCCCGCGGCGCTC AGCCTCTCACCCAGGACAGTGCTCTGGGCTCCAGCCGCTGCAGTGGGGTCGGGACACAGACGCCGAGTTAGAAGCCCCGCCGCTGCAGGTCCCTGCTTGGTCG CGCGGTGACGGTGTCGCTGGCGGCGGCGGGGGCCTTCCTTTGGCTGCCCGGCCATTTAATCAGAGCTATTAT
TTTAGTATTTAAGGAGAAAAGCCTCATTTTCCAGAATCGAATAAGCGAATTAATCGCACAATTGTGTAGAATGGAACTCAGTCTGTAAAAAATCAAGACCAAC TACTTTTTAATATTCTAACATCTCCAAGTAGTAGTTACAAGTATTGTACCCATGAAGTCCAGGTAATTAATTTGTTCAATGTCACACTGTTAAAAGTCAGGTG GCTCCAAAGCACAGTCCTAACCAGCATGCTCTACTGCCTCCTCTGAGGCAACAGCCGAAGTGCAGACCACTGGGAATAAATAGCTGCCCGGTCTTCCCCACTC TAAATTCTCCCGACAGACCCCAAAGCCTCTCTGAGAGCCTCTCTGACCGCCCTGCGGCCCACCCCGAGTTCCCGGCATCCTCTGGGATCCCTCTTCCTGGAGC AAAACCTACGCAGGCTCCTTTCCTCCGAGCTGGTTGCTAGGTGATCTCCGAAGGCTGTCCGAAGTCTCGCGAGGGCGGACCCGTTGCCTGATGACGAGAGTTG
124 AGBL3
GAGTGTGGCTGGGGCTGCGGATCTCCAGCAGTGGCGTTACTTCTAGCGGCTGGATACCGGGTTCTCCGCGAGATCGCGAGATCCCGAGATATTCTCCCCGCAC GAAGCGACGACTGGCCTGGCCAGAGGACTCGCGTGGGAGCGAGGTGCCGGCCCCGACAGGACGGTGAGGTATGCAGAAGTAAGGCGGGGCGCCCCCTGCGGGA GCGAGCGCGCCCCGGAAAATGAGCGCCTCCCCACACCAAGGTGTCCAGGAGTGAGTGCGGGAAGGAACTCGGCCGCCCGGAGTTGTGGCCTCATCGTGCTTCC GCCAAAAACGCCTTGGTACTGTCGGGACGCGGCTAAGCGTGGACGCGCCCGCATCTGCCCCTCCTCCGCAGTGGTGGAAGACACCCGCGGAGCGCCGGTGGAT AGGGCCGTTTCCTGAGACCAGAGCTGTATCCGCAGCAGGTCAGCACTTCGTGCGCCCTGTGTGC
AGCGGCGCTGTTCCCGGGCTGGGTGCAGCTGCTAAGGACAAGGCCCCTGCTCCGAAGAACGCGGTGGCTCGGGGATACCCTGAAAGGGACGGCCATGGCGCAC
125 XP07 TGGGATGCCCTAGGGTTCGTGGGAGGGCATGCAGGCGCAGCCCCCGCAGGGGTTGGCCTGCCAGAGAAGGCAGGGGAGAGCACTCGGGGCTGCACAAATGGTG
GGCCGGAGGGAAGGTGCAGCCTTGTGTGTGTCTGGATGAGGGCTGGGCATAGGAGCTTGGTATTTGATCCTGAAAGCTCTGCGTTTCCAAAG
GAGTCATACTTGTAGTCACATCCTTTTCCTTTCTCCAACCCACTGGTTAATCATGAAAGGCTCTTCTGATTGGCTGCCTCCTGGCAGTAGTGCCTCAGCGCGA
chr8:41 GGTTCGGGAGCAAATAAATAATTCCCGCTGGGAAGCTGTTTCTCAGACAGGAGCAGCGACACCCCTGCCACGCCTGCCGCCTGGAGTTGAGTGGGGTAAGCAC 543400- CCGGCCTCCAGGAATCGACGGTGCCACGTGGTTCTTCTTGCACTTCTCTTCTTCTCCAGTTTCAGGGGACACCGTGGGGTGTGCGAGCCCGGGGGAGCGCAGG
126
415440 AAGGGCGGGTTGGGCTGCAGGTGGGAATGTGCGGTCCTTCTGCGCCCTCAACAGAGCTTCCTTCCTTTTTGCCAAGGTCCCCGTGCCGCCTTCAGCGCGCCTC 00 TTATGCACCTCTACCTCTGCTGCAGCGTACCTCTTCCGCAGCCCTAGCGGCCTCCCCGAGGGGCGCCGCGGCCTCGGCTGTCCCTCCCCTGCCTGGCACGACC
CCTGACCCCCAGCGACCCAAGAAGCAAGTTGTGTTTGCAGACGCAAAGGGGCTGTCGTTGGTATCGGTGCACTGGTTTGA
ACACTTTCTGTGTGGGAGGGCACAAGACATGGGCTATGACATGGCCAGAGACCCCACCTTCTTTACACATGTAAAAACCAACCAAATCAAGATGCGTCAACGG GATTCTTCCTCCCACATTGTTTCCCTTTTTAAACTGTTATTTTTTCAATCCATGGAGCAGTTGAGAAACGGGTATGCATCTCTCCTCCCCTCCCCTTCTATCA AGCCTGTAAGACACATAAGGAAATCCAAAGCCACAGTAATAGAGAGAGAGAGAGAGAGAGAGAGAGAGAGAGAGAGAGAGAGAGAGAAAACAGAACAAAAGAA TCCTCCTTGGCTTGTTTTTCCAGGGTGGCCAGGCAAGGTGTGAAAATCCATATTTCCCTCTGGGCTGGCAGGTAGAAGTTACTGGGAAGGCTGCGCTCCCTTC
127 GDF6
CTCCCACCGGCTCTCACATCCAGGCTGTTCCCTCACCCTCAGCCTCCCCCAGCGCCAGCTTCCTCCTCCGCCTCTCTGCAGCCAGGCCTCCCCTGCAAGGCGG CCTTGGCCCACCTTGGTTCCGGGCCAAGGCGGCGGGAAAGGCACCGCTACCTGCAGCCGCACGACTCCACCACCATGTCCTCGTACTGCTTGTAGACCACATT TTGCCCGCGTCGATGTATAGAATGCTGATGGGAGTCAATTTGGTGGGCACGCAGCAGCTGGGCGGGGTGGAGCCGGGGTCCATGGAGTTCATCAGCGTCTGGA GATGGCGTGGTTGGTGGGCTCCAGGTGCGAGCGCAGCGGGAAGTCGCATACACCCTCGCAGTGATAGGCCTCGTACTCCAGGGGCGCGATAATCCAGTCGTCC
SEQ
GENE
ID SEQUENCE NAME
NO
AGCCCAGCTCCTTGAAGTTCACGTGCAGGGGCTTCTTGCTGCAGCGTAGCCTGGACTTCTTGCCGTGCCGCTTGCCATGGCGACTGGCGAAGGCCGTGCGCCG CGCCGGCGGCCGGGCGAGGGCAGCCAAGGCCTGGCATCCGGGGCGCCCGACGGCGGCGGCCACGACCCCTCGGCGCCCGCGCCCGGGCCCGCAGCCTCGGCCG GCCCAGCTGCTCGCGCATCTCTGCGAACAGGTTCTTGCGCTGGGATCTGGTGAATACCACCAGCAGGGCCCGCTCCTGGGGAGGCCGCACCCTCCGGCCGAAG CCAGACTCCGCAGGTCCGGGGGCGGCGGTTGCTGGGGTCCCCGCGCGCGCGCCTCGGCCTCCCCGGCGTCCAGCTCGCCCCATGCGGCCCGCAGCTCCAAGCA AGCTGCTTCCAGGGCTGGTGGCGCAGGCCCTGCCACACGTCGAAGACTTCCCAGCCGGCCGGCGGCGCCCCCTGCGGGTCCAGGGTCCGCGCGTCCAGCAGTA GGGCGAAAGGCAAGGGAAGAGCTGCACGTGGAGCGGCCCGGCTGGTGGCCCCCAGGGCGCTGAGGGCGCCTGGCGAAAGAGCCGCAGCTCCGCGCCCACCAGC CTTCTTTGTCTGAGAGCATGGACACATCAAACAAATACTTCTGTCTCCGGAGAGGAGTGTGCGAGAGATCGTCTGCGAGATAAAAAATAATTACAGTCAGTTT ACTTAAGGGGGAGATCAGCCCGGTGCTCTTCGGCCGCCCCGGGAGGAAAAGGGCGGGGAGTGGGGGCAGGTCGGCCGGGCAGTCCAGCTTGCCCGGCCCAGGG CTGACCACCCCGGCTCCCCATCTGGCTGGTGCATGG
GCCCGCTGTGAATGTAGGTGAGGTGATCCCGGGAACCTGGGTCTGAAATCAGACCTGTGTTGCCATTGGGAGCACGGAGAGAGGGGAAGCGCCCTGCTTAGGC CAGGCCGGGCGTCCTGGTGGTGGGACCGCAGCCGCACTCACCTCCAGGCCAACGGACAAGGTTCCTGCAAGCCAGCAGGGCCACTCTGTGCTTGGCCTACTGC GCTCCCCTGCAGCTCCTTTCCTCTCCCTCCCCGGAGCGCTCTCCTCTCTCCTCTCCCCTCTCTTCTCTCTCCTCTCTCGTCTCCTGGGGCATCCCGGGTGGAG GATGTAGGGGTCGCTCCTCGGTGCCAGGCCGGGAAGCAGCTCAGGCCTCCCAAGAGCTTGGCGCTCAGTCTGGGAAAAGGGGTTCCTCTGGCCTCAGGGACGT CTCCGCCCCCACCCCACCCCCTGGGAGCCTGAACCATCTGGAAGGGATCTTAGTCGGGGGTTGGGAGGAGAGCCCGTGGATAGGAGGAGGGGGCGATTCTAGG CGAATCCAGCCCCTGAGGTGTCACTTTTCTTTCCTGCGGCCCGTCACCGCTGATAGATGGGGCTGAGGGCAGAGGAAGGAAAAAGAAAACCTCCGAGGTCAGT CGGGGCGAGGTGAGCCCCTCCCAGGGCCCTCTGGCCCAGGAGGATGAAGCGCGCCGGCTTCGCTCTTGCACGCCGGCTTGCCATCCGGGTAAGCGCGGGAAAG CGGCCACAGGGCGCGGCGGCAGCGCAGCGCGTGGGATCTCACGACCCATCCGTTAACCCACCGTTCCCAGGAGCTCCGAGGCGCAGCGGCGACAGAGGTTCGC CCGGCCTGCTAGCATTGGCATTGCGGTTGACTGAGCTTCGCCTAACAGGCTTGGGGAGGGTGGGCTGGGCTGGGCTGGGCTGGGCTGGGTGCTGCCCGGCTGT CGCCTTTCGTTTTCCTGGGACCGAGGAGTCTTCCGCTCCGTATCTGCCTAGAGTCTGAATCCGACTTTCTTTCCTTTGGGCACGCGCTCGCCAGTGGAGCACT
128 OS 2
CTTGTTCTGGCCCCGGGCTGATCTGCACGCGGACTTGAGCAGGTGCCAAGGTGCCACGCAGTCCCCTCACGGCTTTCGGGGGGTCTTGGAGTCGGGTGGGGAG GAGACTTAGGTGTGGTAACCTGCGCAGGTGCCAAAGGGCAGAAGGAGCAGCCTTGGATTATAGTCACGGTCTCTCCCTCTCTTCCCTGCCATTTTTAGGGCTT CTCTACGTGCTGTTGTCTCACTGGGTTTTTGTCGGAGCCCCACGCCCTCCGGCCTCTGATTCCTGGAAGAAAGGGTTGGTCCCCTCAGCACCCCCAGCATCCC GAAAATGGGGAGCAAGGCTCTGCCAGCGCCCATCCCGCTCCACCCGTCGCTGCAGCTCACCAATTACTCCTTCCTGCAGGCCGTGAACACCTTCCCGGCCACG TGGACCACCTGCAGGGCCTGTACGGTCTCAGCGCGGTACAGACCATGCACATGAACCACTGGACGCTGGGGTATCCCAATGTGCACGAGATCACCCGCTCCAC ATCACGGAGATGGCGGCGGCGCAGGGCCTCGTGGACGCGCGCTTCCCCTTCCCGGCCCTGCCTTTTACCACCCACCTATTCCACCCCAAGCAGGGGGCCATTG CCACGTCCTCCCAGCCCTGCACAAGGACCGGCCCCGTTTTGACTTTGCCAATTTGGCGGTGGCTGCCACGCAAGAGGATCCGCCTAAGATGGGAGACCTGAGC AGCTGAGCCCAGGACTGGGTAGCCCCATCTCGGGCCTCAGTAAATTGACTCCGGACAGAAAGCCCTCTCGAGGAAGGTTGCCCTCCAAAACGAAAAAAGAGTT ATCTGCAAGTTTTGCGGCAGACACTTTACCAAATCCTACAATTTGCTCATCCATGAGAGGACCCACACGGACGAGAGGCCGTACACGTGTGACATCTGCCACA GGCCTTCCGGAGGCAAGATCACCT
CACTCCCCCGCCGCCTCCGCCCCTAACCCTCGGCCCCGTGCGCGAGCGAGCGAGGGAGCGAACGCAGCGCAACAAAACAAACTAGTGCCGGCTTCCTGTTGTG AACTCGCTCCTGAGTGAGTCGGGGGCCGAAAGGGTGCTGCGGCTGGGAAGCCCGGGCGCCGGGGACCTGCGCGCGCTGCCCGGCCTGGCCGGAGCCTGTAGCC
129 GLIS3
GGGGGCGCCACGGCCGGGCTCGCAGTCCCCCCACGCCGGCCCCCCGGTCCCCGCCGAGCCAGTGTCCTCACCCTGTGGTTTCCTTTCGCTTCTCGCCTCCCAA CACCTCCAGCAAGTCGGAGGGCGCGAACGCGGAGCCAGAAACCCTTCCCCAAAGTTTCTCCCGCCAGGTACCTAATTGAATCATCCATAGGATGACAAATCAG
SEQ
GENE
ID SEQUENCE NAME
NO
CAGGGCCAAGATTTCCAGACACTTGAGTGACTTCCCGGTCCCCGAGGTGACTTGTCAGCTCCAGTGAGTAACTTGGAACTGTCGCTCGGGGCAAGGTGTGTGT AGGAGAGAGCCGGCGGCTCAC CACGCTTTCCAGAGAGCGACCCGGGCCGACTTCAAAATACACACAGGGTCATTTATAGGGACTGGAGCCGCGCGCAGGAC ACGTCTCCGAGACTGAGACATTTTCCAAACAGTGCTGACATTTTGTCGGGCCCCATAAAAAATGTAAACGCGAGGTGACGAACCCGGCGGGGAGGGTTCGTGT TGGCTGTGTCTGCGTCCTGGCGGCGTGGGAGGTTATAGTTCCAGACCTGGCGGCTGCGGATCGCCGGGCCGGTACCCGCGAGGAGTGTAGGTACCCTCAGCCC ACCACCTCCCGCAATCATGGGGACACCGGCTTGGATGAGACACAGGCGTGGAAAACAGCCTTCGTGAAACTCCACAAACACGTGGAACTTGAAAAGACAACTA AGCCCCGCGTGTGCGCGAGAGACCTCACGTCACCCCATCAGTTCCCACTTCGCCAAAGTTTCCCTTCAGTGGGGACTCCAGAGTGGTGCGCCCCATGCCCGTG GTCCTGTAACGTGCCCTGATTGTGTACCCCTCTGCCCGCTCTACTTGAAATGAAAACACAAAAACTGTTCCGAATTAGCGCAACTTTAAAGCCCCGTTATCTG CTTCTACACTGGGCGCTCTTAGGCCACTGACAGAAACATGGTTTGAACCCTAATTGTTGCTATCAGTCTCAGTCAGCGCAGGTCTCTCAGTGACCTGTGACGC GGGAGTTGAGGTGCGCGTATCCTTAAACCCGCGCGAACGCCACCGGCTCAGCGTAGAAAACTATTTGTAATCCCTAGTTTGCGTCTCTGAGCTTTAACTCCCC ACACTCTCAAGCGCCCGGTTTCTCCTCGTCTCTCGCCTGCGAGCAAAGTTCCTATGGCATCCACTTACCAGGTAACCGGGATTTCCACAACAAAGCCCGGCGT CGGGTCCCTTCCCCCGGCCGGCCAGCGCGAGTGACAGCGGGCGGCCGGCGCTGGCGAGGAGTAACTTGGGGCTCCAGCCCTTCAGAGCGCTCCGCGGGCTGTG CTCCTTCGGAAATGAAAACCCCCATCCAAACGGGGGGACGGAGCGCGGAAACCCGGCCCAAGTGCCGTGTGTGCGCGCGCGTCTGCGAGGGCAGCGGCGGCAG GGGAGGAGGAGGCAGAGGCGGGGTGGCTGGACCCTCGGCATCAGCTCATTCTCCCCTGCTACACACATACACACACAAATAATGTTTCTAAAAAGTTCAGTTG GACTTTGTGCCTCGCCTGTCCTGTTCATCCTCGTCCTGGGCCGGGGAATGCTTCTGGGGGCCGACCCCGGGATGCTGGCTAATTGCTGCCGGCGGGTTCCGTC CCGGTGTGACCCTGGACGGCGCGGACGGCGTACAGGGGGTCCCGGGAGGGGCAGTGGCCGCGGCACTCGCCGCCGGTGCCCGTGCGCGCCGCGCTCTGGGCTG CCGGGCGGCGCAGTGTGGACGCGG
CTGAAAAGCCGTCAGGGAAACCACACATGTTCAACCCCTGGCGGCTCCCCCAAACCTCTCATTTCCAGTAACTGTGTGTTTCCGCTCGTCAACAGCTGAAACC AGCGGAACTTGGGGGGCCCCACCACGCGGCCCTGCTGTGCGGCACGGGGCTCATCTGTCCCCCGGCTGCGGGGAGTCAGCTCTCACCGCCCACCTCCTTCCCA ATAGTCTCTGTGCCCACTCGACGGCCCGGCAAGCCCAGCCCCTGCCTGCCACGGCCACAGCAGCCTCAGAGAGCTGCCCTCTCTGGCCAGGGTCAGGGCCTGA
NOTCH CTGCTGCCTCCCGCAGGGTCGAGGGCAGGACACTTGTCTGAGGCTTGGGTGGGGCAATGGCACCTCCTCAGGGCCTCAGCCCCCGGGCAGGCTCGGTGACCAT
130
1 GGCCTACAGCAGGGAAAATTCTGGGCCAAAAGCTCCAGCCTCCTACTAGGGCATCTGTCTGCAAATGCACCTTAACCTGACCGCTTGGGCTGTGGGGGAGCCT
TTTCAGGGAAAGTGAGGGACGCGCCAGTTTCCTCCTTTGGACTTGATGAGGCACGAACGCATCTCTAATAAAGCCAGGTCTCCCCGCCGTGGCTCCCTGGGCG GTGCCTGTGGCTCGGGCCATGAGTCACGCTGGGTAACCCCACTACGGGGAAGAGGGCAGGAAGCTGGGAGCCACCGCCTCTGTGCCCGGTTGTCATCTCGGCA GAGGGCGACCGTCGGCTTCGTCCTGCCCTCATGGCTGAGGGCTTTTGGGATGTGGCGGGAGACGGGGGAGTC
AAATCATCAGAATGGCTAAAATGAAAAAGACAGACAACAGCAAGTGCTGACAAGGGTGTGGGGCGGCCAAATGCTCCTGCACTGCTGGCAGGGGACCTGAGAA TGCAGGGCATTCCCTGGCTTCCTGCCCCTCCTGGGACTGGGGACCCCCCAGGGACAGCCTAAGGGAACTGCATTTATCTTCACGTCTGCCAAAAGATAACACG
131 EGFL7 AGATGTTCAAAGCTAAGCCCCCAGGCTGGTAAGAGCTCCAAGGCACCAGCAGTGTGTGCAGAACTGGGGGGAGTCTGTTCTCCCAGGGATGCTCCCATCACCT
CTGCCAGCAGTGGGGCATGCCGGTCCCCTGGGGTGTGGCCAAGGGGCTGTGTCTCCTGCCCGGGCTGCCGGCCCCTCTCAGGTTCACTTTCCCATCTCTAAGC CACGTCTCGCTGCAGTTCAAGTTTGCCAGGCCACCAACGGGTGACACGCCCGGCGCAGTGGGGGACTCCGCACTTTCTGCGCAC
ACCCTTTGTGCCTGGGTCCCATAAACAATGTGCTTTTTAAAGGGGAGCCCCCTCCCAGCTCCGGCCTTTTTCTCCAGCGTGGGCAGCCAATCAGCTGCGCAGA CTGCATAGCTGGACCGCTTTCCATTCTGAGTAGCAACAACGTACTAATTTGATGCACACATGGATGCCTCGCGCACTCTGCAAATTCATCACCCGCATCTTGC
132 CELF2
TTAGTCATCTGACGGACTGCCAAGTGTTTCATTTTCTTTCCATGTGACTTTATTATTACCACCTCTCTCCTCTCTTCCAAAAACCTCCCAAAAAGGGCGGTGG GCGGGGGGCGGGGCAGGGAGAGGGAGAGAAATCCAGCAGACATCTAGCTCTGCCTTTCTTTCCCAGCCACAGCCAGGGTAGGGCTGATAAGGCGCTGATGCGT
SEQ
GENE
ID SEQUENCE NAME
NO
GATGGCAGCCTTGCAGAGCTAGACCTGCACTTAACTTGCAGCTGCCTCCCGAGCCTCCAAGATGTCCACGCCCTGGGTGACAGGCGGCAGGGCGCTGCCCCGT CTCCCCCGGCTCTGCTCGACAGCAGCACGCAGTGAGAGCCTCGCCGCCGCCGAGGAGCAACTCATGGTGCCTCCGCTTTGTTTTAGTTCATCAAATTTCTACG CTCATTAGGCACTTTGCCACTGCTCTTCTTCCTCCTCCTTCCGCCTCCCCGCTCCCCCACCCCCACTATTTTTTCTTCCTGTCCCTCATCGTGCCGCCCTAAC CTGGCTCCCGGTTCCGTTTTTGACAGTAACGGCACAGCCAACAAGATGAACGGAGCTTTGGATCACTCAGACCAACCAGACCCAGATGCCATTAAGATGTTTG CGGACAGATCCCCCGGTCATGGTCGGAAAAGGAGCTGAAAGAACTTTTTGAGCCTTACGGAGCCGTCTACCAGATCAACGTCCTCCGGGACCGGAGTCAGAAC CTCCGCAGAGTAAAGGTACAGAGCGCGGGGCGGGGGTCGCCAGGCGTCCAGGTGGGCGTCGCGGGGCACTGGGGCTGTCCGAGCCCCCAGCCTGCAGGAGGAA GGCGGGTAGGCAGGAGGGCTGGAAGCAGCCGGTGCTGGCGGCCCCTGTGCTCCAGGGGCTGCTCCCGACTCCTCCCCGCACCCCCGCCCGCCTGCCCGCCGGG CAGGTTGGAGGCGGGAGAGAGGGACCGAGGCAGGGCGGGAGCGCAGAGGCTCGGTC
TAACAAATAAGCCGCCCGTGGTCCGCGCTGTGGGTGACCCTTGGCGCCTTCGAGGTCTGGAGCCCTAGGGTAAATAAGGAAACGGGGCGCCTCTAGAGTTTTA ATGAACTCTGTTATTGGAAGCTTCAGTAGGGACCCTGAAAACAATTAACGTCTTAATTAGCATTTTAATGTCTCCATTATTACGGCGCGGGCTCTAGCTCAGC CTTTACCTTACCTTCTCACCGTTAACAGGGGAGGGGGATTGTATTTTTAGTTCATCTTTTTATGTTTTTGAGTTGTTATCCTGTCTGTCTGATTCCAGCCTCG GGGTTTGATGATGCGGCCCGAGCCTGGCTGTGGTCGCCTGTCGGGGCTGGAGCGGGACCCTCAGCCGGGCCGGGCCTGGGGGCTAACGTTTTCACAGTGCGCC
133 HH EX
TGAGTTTCCTTGGGTTACTGCTGGGACCGCGCAGGAGGAAGCAAAGAGTTTTTCGAGCTAGACCAACAGGAAACACATTGACGGAAATGTTGCCATAGCCCAT GGGTGGCTTTAACTGGCCGCCCCCGCGGGCTGGGTGTGAAATCAGAGGAGGCCGCGGCTCCCCCGGCCAGGATTGGAGGCTCCTCGCGCAACCTAATGCGGGT TCCGGGCCCGAGCGCTTCCCGCGCAGCCAGGCCTTGTCGGTGCAGCAGCCCCGCTCCTCCCCAACACGCACACACCCGGTGTTCGCAAGTGCGGCTCACCAAG GAGATCCAAGGGGGCAAAAAGTTATGTATAAATCCGAGAGCCACTGGGGAAAGAGGGTCGTGGTATTGTAAG
CTACCCTGTGCTATCCTGAGCTGTAGTCTTCTGAAATGATCGTTTGGCTTCCCAGCCAAGGCAGGGCTCCCCCAAAGTTCATTCCCACTCTTGCAGTTTCACC
DOCK1/ CGGGATGCTTCCGCAGAATTTCAGCGCCTAAGCAGACAAGGTCAAAGTAAACCGCTTCACCGCTGCTTCTGGCGCAGGGGCCCAGAGCGCGTGCAGCTCCCCA
134 FAM 19 CACAGACCAACAGCAGGAGAGGGGTCCGGGCGGGAGCCCTGGGCTGTAGATAAGCAAAACGCACCCATTTTCTCTCCTATTTACTCCAGAGGCACCTCTCCTC
6A CCCACTCCTGGCATCTCTTTATCACTGGCTCCCTCTCCCTGTGGCATATTTTTGGGTAGTAGAATGCTGAGGTCACAGGGAGCGGCTCTTTATCCAAGCAGTG
GGACATCAGCCTGGAGCCCTGAGCATGAACCAGCAAGATGCAGACTCTCGCTCTTGACTTTGGGCTCCAGGAGCTGCCCCGACC
CAGTGCTCCGCTCCGGGAAATTGCATCGTCACGACAAACGGGACCGTGATAAAACGACCCTTTCCGTCCTTATTTGTAGATCACTCAGACGAGATTGAACTGC CTTGTTTCCCCTTCGAGGGGAGCCGCGTTTTCAGGGTAGCCGAAGGCTTGGGGCTGAGGGGGGGCCCTCACCAAGGCGCGGGTGGGGGCCGGAGCCTCAACTC ATGAGAAGTGACAGGCGTTTGGGGGATCTGGGCTCCGGCCGGGACCAGCGCAAGCAGGGACTTTGCGGGGACACCGCTTCTCCAACAGAGCAAGGCCTGGCCC CGTTTCCGGTTTCTCCTAACTTCCTTTTATTGCCTTCCTTTGCTTCGCAAGTTCCATCTACCCCTCCAGCTACAGAGCCCCACCTCTAGGCACAGGAAGCTTC CGGAAAAAGAAAGGCTGTCCCAGAAAGAGACCGAGAGAGACTTTCCAAACTTCGGGCATAGCCACGGCAATTCCCAGTCTGCTAATGCCAAGGCGGGCGCGTA
135 PAX6 GGCCGCCTAAATCTAGACCTCCCTCCTCACTCATTTCAAAAAATAACAACGTGCCAGCCACCTCCGCAGATACCGCCGGCTGGTGCTTGCCCAGGAGACGCCA
GGCCAGAGCGCCACTCCCAGCATCGAAATGGCAGAGAGAAAGCGCAGCTCCAAATTCCCCTTCAGAGGTTAAGCCTCAATCATTGTGTCCCTTCCCTAGGGAC GCTGGCGCTCTCGCCCACTGGCGATGATTATGCGCCTAGAACTCGACCGCGAAGCAACTAATAGGAAAACATATGGTGTCAATTTGGATGCTCCGCGCCTCGC CACACCCGGGAACGAGCGGCACAAAGCCCTGCCGGCCGGCCCGCGACCCCGCGCCCCTCGGGGCCTGCCAGCCGGGCCGCAGCGACAAACGCTCAGGGCTGCG GCCCTGGCTGGGGCCCGCCCGAGAGACAGCCTGCGGCTGGGGAGTCTGAGCTCCAAGGGGAGAGCCCAGCCGCCGAAGGCGAGCCTACCGGCCAAGCCCTGGG TCCGGCAGGTTCTGCACAACTACTCCCGCAAAGCTCGCCACCTTTGTGCCCTTTCCTCAG
136 FE MT3 GGGCCCTCGCGGCTCAAGCGCCAGCGCTGGAGAGAGAGTCTGAGGGTACCACGGGCGTGCTGGCCTGGGTGCTCACTCCCGCCCTCCTTCATGAGCGGCTTTC
SEQ
GENE
ID SEQUENCE NAME
NO
TCTGGGTGTGTCCAGGGCATCACAGAGCTCTTCTGCCCAAACCCGGAGGCCTACCAGGGCCTGCCCACCTTGCCTCCTTCCACACTCTCTGTAGCAGCAGCCG AGCCATGGCGGGGATGAAGACAGCCTCCGGGGACTACATCGACTCGTCATGGGAGCTGCGGGTGTTTGTGGGAGAGGAGGACCCAGAGGCCGAGTCGGTCACC TGCGGGTCACTGGGGAGTCGCACATCGGCGGGGTGCTCCTGAAGATTGTGGAGCAGATCAGTGAGTGTCCGCTGCCCGCTTGCTGAACTCGGCACCATGGGCG CCGCCACGGGTGTCTCTGGGCACTTCCGGGCCATCCCTGCTGCTCAGCTCCCGATAATGGTGTCACGGTGACTCAGGCATTAGC
TGTTTACGGAATCGGGATCGAGGGGCCGATAAGTAGTTTACACGCCGGCCAGAGCAGAGGGCTGGAGGTCGGAGTTGGGGGCTGGAGGAACGGGTGGCGTTTT AGGATTCAGTAACAGGATCACAGCTTTTTCTTGTGGTGGAAGCTATTGGAATTTGGGGAGGGTAGCACGAGGGGTCCTGCAGCTCCGCGTGTGAAAAAGCGTT AGGTAGGCGATGAAAGTAGTTGATCTGAGCCATGGCAGGCGAGCCCCGAATTTTTGCTGCTTCCCCCTGAAAGTGTTTCTTTAGGAGGAGAGGACTTGGGCCA
137 PKNOX2
ACAGGACCCGGTCC AAGAGAGCGATTCCGGGAAGCGGACAGATCGAAGAGACCTTCTGGGCGAAGCGGCAGGGCAGCCTCGCGGGGCTGGGAGTGGATCTGA GTCCCGACCCAGGCGGCTCGGAGTGCTCCAGGAGCCACCTGGGTCTGCGGGCGCAGCGCGGCGGGGCGGGAGCGGTGGCCCGCAGGGGCCGCGGCCTGCGATG AGGCCGGGGGGCAGCGCTAGCAGCGAGGTGCCACAGTGGGCCGAGGAGTCTGGGCTGTGGCCCAGGGTAGGACCGGCTCA
ACCTAAACCAAGCTCTCCCTCCCTGCCGTCTCCTTCCCTGGCCTGGGTCTGAAGGAGAGGAGGTGCCCAGAAGTTCAGAGCGGCATAACCACAGAGATACTAC
138 KI EL3
TAATTAACATACCAGAAGCATAAAGAACTCATTTGCATTGGAGAGT
ATAACTACGGGGGTGGGGGTGGGGAAGGAAGAGATCCAAGGAGGCAGAAGGCTGCGGTCAAAATATTTTGGGGTGGCAGAGTCACGTAGGATGTGGCTGTGGG TCTGGCAGCCCAGAGATTCAGCTCCCGCCTCCTCCCTCAGAGCGAGTCCATAGCTACCCTCACGTCCCCCGTGGCGGTCCTCGCCACGCTCCGGAGCGGGTTA CCATGAGGGTGCTAGACCTGGGCAGCGGGAACCTCGAAGAGGTGGAGATTGCAGGCTGGGACTCCAGATTTCGGGCAGGGATGCGGGGAAGGGAAGACGCCTC CTGGAGGCGGAATGGAGGGCAAGGCGAAGGAGGATGGTGCAGGAAACGGCGACAAGGCGCCCGGCCAGGCCCGCGAGCTACCGAGACCCGGGTTCCAATCCTC
139 BCAT1 CCCCTTCCGCAAACGCCCGGGTTCGAGGTACCTGGCGGGCAAGGGCCGCAGCGGAGCGAAGCGGGCTGGCCATGGGGAGGCTGCGGGGACGCGGGGCTGCAGA
AGCGGCAGTGGCACGGAGCGCGCGGCTGGAAGCGAAAGCAGGCGGTGTGGCCAAGCCCCGGCGCACGGCCCATAGGGCGCTGGGTACCACGACCTGGGGCCGC CGCCAGGGCCAGGCGCAGGGTACGACGCAACCCCTCCAGCATCCCTTGGGGAGGAGCCTCCAACCGTCTCGTCCCAGTCTGTCTGCAGTCGCTAAAACCGAAG GGTTGTCCCTGTCACCGGGGTCGCTTGCGGAGGCCCGAGAATGCGCGCCACGAACGAGCGCCTTTCCAAGCGCAGATATTTCGCGAGCATCCTTGTTTATTAA CAACCTCTAGGTGAATGGCCGGGAAGCGCCCCTCGGTCAAGGCTAAGGAAACCTCGGAGAAACTACAT
CAGTCCAGCCGCTTGCCTCACTTCTTCCCGCTTGCCTTATCTCCCCGCAGACGTGGTTCCCCTGCAGCCCGAGGTGAGCAGCTACCGGCGCGGGCGCAAGAAA GCGTGCCCTACACTAAGGTGCAGCTGAAGGAGCTAGAGAAGGAATACGCGGCTAGCAAGTTCATCACCAAAGAGAAGCGCCGGCGCATCTCCGCCACCACGAA CTCTCTGAGCGCCAGGTAACCATCTGGTTCCAGAACCGGCGGGTCAAAGAGAAGAAGGTGGTCAGCAAATCGAAAGCGCCTCATCTCCACTCCACCTGACCAC
140 HOXC13
CACCCGCTGCTTGCCCCATCTATTTATGTCTCCGCTTTGTACCATAACCGAACCCACGGAAAGACGCTGCGCGGGTGCAGAAGAGTATTTAATGTTAAGGAAA AGAAGAACCGCGCCGCCCGGAGGCAGAGAGGCTCCATGGCCGTGCTGCTGGGCCATCCCCAACTCCCTATCCCATCCCCAGCCTCCACCCCCATCCAGATGGG CTCACGTGGCTTCAACAGCTTTGGAAATGGGTCCCGAGTGGGCCGTGCGAGGAAGGCTGTCGACCTCTACTCCTCCTTGC
CAAGATCGACTTTCTTAGGAAGGGGGAGAGGAGGGAACTCTTCACGAAGGGAGGTGGGAGTCCACCTCAGACCTCTATTGGAAGGAAATCGAGTTGTTCCGGG GACTGAGGTCTCTTGCATAAGGCATGGGATCCTTATTATTATTATTATTATTTTTAAATCCCCCGCGGAGGAGCTCTGGGCAAATGAATACCGAGGCGCCGCT TAGCTGGTTAGGCTTGGGATGCGATAACTCAGTGCCCTCTTGCAGACTTGCATAGAAATAATTACTGGGTTGTCGTGGAGGGGACACGAGACAGAGGGAGTTC
141 TBX5
CCGTAATGTGCCTTGCGGAGAGAAAGGTCCAAGAATGCAATTCGTCCCAGAGTGGCCCGGCAGGGGCGGGGTGCGAGTGGGTGGTGGAGTAGGGGTGGGAGTG AGAGAGGTGGTTTCTGTAGAGAATAATTATTGTACCAGGGCCCGCCGAGGCACGAGGCACTCTATTTTGTTTTGTAATCACGACGACTATTATTTTTAGTCTG TCAATGGGCACAATTTCTAAGCAGCGCAGTGGTGGATGCTCGCAAACTTTTGCGCACCGCTGGAAACCCACTAGGTTGAGTTGCAAAACGTACCGCGTAGACG
SEQ
GENE
ID SEQUENCE NAME
NO
CCCTGGTGGCGCCGAGAGAAGAGCTAGGCCTGCCCAGCACAGAGCCGGAGAGCGTCGGGCCTTCCGGAAGGGTAAGTTCTCCGCCAAGGGGTCCCGAGGGAGC GGACGTCTGAATCTGGACTTGCCCCCAGCTTCGGGGTTCGATTCTGGGTTTTGCGCGTCCCCAACCCCCAGGGCTTTCCGAAGCATGGCCTGGCTCCAGGCCC GTCCTGTAAGGACTGGAACGGCAGCAAAATGTGCAGGGAGGCAGTCGGCCGGCAGAGCTGCGGCGGGAGCCAAGGTCAGGCCCGCGGGGAGAGCGGGCAGCTT CAGCGCCGGCCACAAGCTCCCAGGCCAGCTGGGCCGCAGACCCCTTTGCTTCCAGAGAGCACAACCCGCGTCCTTTCTCTCAGCCAGGCTGCAGTGGCTGCCC GAGCTTCGCTTTCGTTTCCCAAGCTGTTAATAACGATATGTCCCCAAATCCGAGGCTCGTGTTTGCTCCCAGATGCCAAGAACGCAACCCGAAATCCTTCTCC AAACCC AGGTCGACGAGATGAG CC ACT GACC C GAGCCGAGG GGGCCGGAAACCGAGGCCTAGGCCCCGCCGGGGC GCAAGGAAAAGGGGAAAC CGAGCGTAGCGTCTTTTCCTTGTGGTTCCTTTCTCCGGCATCCCGGACTGCGGGCCCTGCAGCCACCTGGACCGGCATTCAAAGGATTCTGCAAGTCCAGCTT ACAGACTGGCTTTCCCAGACGCTCCGAAGCCCGCACCACGAACAGAATAAAGGAGAGACGAGAGATCGCAACTAGATTTGAGAATCCTCGTTCTTTTCCCCAA CGTTCGGGCAGTAAACTCCGGAGCCGGCTACAGCGCGCATCCTC
ACTGTCCTCCTCCCTCAATTGCCTATTTTTTGCCCATAGCTCTAACTTAACCCTGTGATCACCCCAGATCGCTACTTCTGACCCCCATCTCCTCTCCCACACC ACCTCCAGCGCGCGAAGCAGAGAACGAGAGGAAAGTTTGCGGGGTTCGAATCGAAAATGTCGACATCTTGCTAATGGTCTGCAAACTTCCGCCAATTATGACT
142 TBX3 ACCTCCCAGACTCGGCCCCAGGAGGCTCGTATTAGGCAGGGAGGCCGCCGTAATTCTGGGATCAAAAGCGGGAAGGTGCGAACTCCTCTTTGTCTCTGCGTGC
CGGCGCGCCCCCCTCCCGGTGGGTGATAAACCCACTCTGGCGCCGGCCATGCGCTGGGTGATTAATTTGCGAACAAACAAAAGCGGCCTGGTGGCCACTGCAT CGGGTTAAACATTGGCCAGCGTGTTCCGAAGGCTTGTGCTGGGCCTGGCCTCCAGGAGAACCCACGAGGCCAGCGCTCCCCGGA
CTCAGGGAATCACATGTCCGCCTGGCCTGGCCTGGTACCAAATGTTTATAGACAGGACGAGGGTCGCTGGAATCGCCTCGCTCCTTTCAGCTTGGCGCTAAGG GCGAATCTCGATCCTCCTAGTATTTCTCTGGCGTCTGTCTCTATCTCAGTCTCTGCTTTTGTCTCTTTCTCCCTCCCTCCGCCCCAGTCTTTCCGTCTCTTTT
chrl2:l CCTCGAATGCACGTGGAATTCGGAATTGAAAATTGAGGTCAGAATCTCCCTTTTTCTTCCAGTTATCCGCGCCGCTGCCCCACGCCTAGCGGCTTGGATCTGC 136221 TAGACATCTATCTACCCGCAACAAGATCCGAGCTGCAGAAGCAAACCTAATCTGTCTCCGCACCATCCCCTGCTCTGTAGACCCACTGCCCCATCCCACGCCA
143 00- ATCCTTGAGGTTCAAGTAGCGACTCCAGCGGATGATTCGGAGAATGCCCTGCTTTCCAAAGGCCCCAACCCGTGTTTTTATTTTCTTTTTCCTTTGCCCGCTT
113623 ACCAACTTTGGTTTCTTTCAGGGCCCGGAGGTGCCTGCGCCGCGCTTGGCTTTGCTTTCCGCCGCCCCAGGAGACCCGGGACTGTGGTTTCCGCTCGCCACAT 000 CCAGCCTGGTGCGCACACAAGAGCCTGGCGAGCTTCCCTCGCGCGCTTACAGTCAACTACTTTGGGCCTCGGTTTCCCTGCTCCTTGTAGATCAGAGAAGGGA
GGGCGAAATGCCTGCGAGGGAGGGTTGGCGAATGGGTTGGTTGGTGGCAAGACTGCAGTTCTTGTACATGGACGGGGGTTGGGGGGTCAACACTGGAAGAACT CTGCCTGACGCCAAGAGCCACCCGCTTTCCAGCTCGTCCCACTCCGCGGATGTTTACCCACCTTCATG
chrl2:l TTTGGGGCACCCAACCCTTCCCAAGCCTCGGTTTTCCCGATCTTGTGGGATCCTTGCGGCGCGAATGGGGTTGGAAGCACCTTGGAAGCTACAGAGTACCGGG 136578 CGGGACAATTTCCGGCACTGCCCCAGTTCAGTGGTTTATAGAAAATTTCTTTCTCTCTCTCAGGTCCACTAAGACCGAGAGAGAGAGAGAAGTCGACTCTGGC
144 00- CACCCGGGCGAGGGGCTGCCGGGATTCGGGAGCTGGCGCGGTTGATTTTTTCCGAGAATCCTCCACTTGGGGTGACGTCGGGCAGCGCGCGCGGGCCGTGAGG
113658 TAATGCCCAGGCTTTTCTCTAAAGCGTCCGGGAATGATCCGGCGAATAAAACGGGTGTCTGCAAAGTTAATGAATTGTACAAGGAGGCTGAGGGTGGGGACTT 300 GACCCGGGGAGCCAGAGGCGGTTCTGGTGGACGCTTCCCCGTGCGCCTAGGGGTGCGCTGGGCTTTCCCAGCCGAGGTCTGCAG
CCAGACAGTTAAGGTAAAACGTTGAAGTCAAGAGGAAGTAGTGAGTCTGTTGCCAACTGGATAGGGTTGGTCCTGTCCCATCTAAATGTATTAGAATTAAGTG CTTTTAAAAATGAGCTGGTCATCTTCAGCCCACGGGCTGGCCAATTTGGAACTTAATGGGCCTTTGCGTCCTCCTTCCCTGAGCCTCCTTTTATTCCAGACTT
THEM2
145 TCAGTGTGAGTCTGTGCGTCCCTCCGACGATCTCAGGGAGTGGGGTGCCTTCATCTGCCTGTTCCCTGTTCCTCAGGCTGACGCTCCCGCTGTCCTCCCCGCC
33
CCCCTCACTCCTTTTCTCCCTCCCTTCCTCCTTGTGGGGAGGCTCTTGGCCAGGGTCCCTGAGCCCGGGCGGGTGCTGGCAGAGGACGCAGAAGGGGTGAGGT ACGTCTCCCTTGAGCCCCGAGCCGCTGGCTTTTCAGAGCCTCGCCACAAGCCGGCGGCCAGAGCCCCAGACCACACAGACCGTGCGCTCCTCCGCCCTCCCGG
SEQ
GENE
ID SEQUENCE NAME
NO
GCCGCCGGCCTCGCCCATGTCTCAG ACGCCCCTAGCCCGGACTTCAAGAGGGCTTTGGACAGCAGTCCCGAGGCCAACACTGAAGATGACAAGACCGAGGAG ACGTGCCCATGCCCAAGAACTACCTGTGGCTCACCATCGTCTCGTGTTTTTGCCCTGCGTACCCCATCAACATCGTGGCTTTGGTCTTTTCCATCATGGTGAG GAATCACGGCCAGAGGCAGCCTGGGAGGAGAGACCCGGGCGGCTTTGAGCCCCTGCAGGGGAGTCCGCGCGCTCTCTGCGGCTCCCTTCCTCACGGCCCGGCC GCGCTAGGTGTTCTTTGTCCTCGCACCTCCTCCTCACCTTTCTCGGGCTCTCAGAGCTCTCCCCGCAATCATCAGCACCTCCTCTGCACTCCTCGTGGTACTC GAGCCCTGATCAAGCTTCCCCCAGGCTAGCTTTCCTCTTCTTTCCAGCTCCCAGGGTGCGTTTCCTCTCCAACCCGGGGAAGTTCTTCCGTGGACTTTGCTGA TCCTCTGACCTTCCTAGGCACTTGCCCGGGGCTTCTCAACCCTCTTTTCTAGAGCCCCAGTGCGCGCCACCCTAGCGAGCGCAGTAAGCTCATACCCCGAGCA GCAGGCTCTACGTTCCTTTCCCTGCCGCTCCGGGGGCTCCTGCTCTCCAGCGCCCAGGACTGTCTCTATCTCAGCCTGTGCTCCCTTCTCTCTTTGCTGCGCC AAGGGCACCGCTTCCGCCACTCTCCGGGGGGTCCCCAGGCGATTCCTGATGCCCCCTCCTTGATCCCGTTTCCGCGCTTTGGCACGGCACGCTCTGTCCAGGC ACAGTTTCCTCTCGCTTCTTCCTACACCCAACTTCCTCTCCTTGCCTCCCTCCGGCGCCCCCTTTTTAACGCGCCCGAGGCTGGCTCACACCCACTACCTCTT AGGCCTTTCTTAGGCTCCCCGTGTGCCCCCCTCACCAGCAAAGTGGGTGCGCCTCTCTTACTCTTTCTACCCAGCGCGTCGTAGTTCCTCCCCGTTTGCTGCG ACTGGCCCTAACCTCTCTTCTCTTGGTGTCCCCCAGAGCTCCCAGGCGCCCCTCCACCGCTCTGTCCTGCGCCCGGGGCTCTCCCGGGAATGAACTAGGGGAT CCACGCAACGTGCGGCTCCGCCCGCCCTCTGCGCTCAGACCTCCCGAGCTGCCCGCCTCTCTAGGAGTGGCCGCTGGGGCCTCTAGTCCGCCCTTCCGGAGCT AGCTCCCTAGCCCTCTTCAACCCTGGTAGGAACACCCGAGCGAACCCCACCAGGAGGGCGACGAGCGCCTGCTAGGCCCTCGCCTTATTGACTGCAGCAGCTG CCCGGGGGTGGCGGCGGGGTGAGGTTCGTACCGGCACTGTCCCGGGACAACCCTTGCAGTTGCGCTCCCTCCCCCACCGGCTCACCTCGCCTGCAGCTGGGCC CGGAACTCCCCGGCCACAGACGCA
CTCTCTGGGCCTTAGGAAAATGGAAATGACACCTGTACCTGCCCTTCCAGGACTGACAGGAGGGGCTGCTCCATGAAACCTCACTGCTGCGGTCATAATGTCA TATCTTTTGCCTTAAAGGGATTTCTTCTGCACCAGCACCTAAAGTGGCAGCCCCTTACCCTTGGCCATCAGCTGGACCCTGGTGCTCTCCTGGAGCCCAAAAC TCTGTTTTGTGTTGCATCCTGCTGACCAGCCACAGTCCACACCCATCTGAGTGTCTGAGCAGAACAGCCCAGAGGCCACACCAGGATGGCTTTCCACCGGTCA
146 NCO 2
CTTCCCCCACCCACTCATAAACCCTGCGTCTCTGGGGGAGAGGGTGGCGAGGTCCCCTCCCCACATAGATGGAAACACTGAGGCCTGATTCATGGTGCCCCCT TGAAGCGCCTCATGGCCAGCACCGGGGGGCAGCAGGCCAGGGCGGGGACACATACCCGGTTCTCGTCGTAGATGATCTGCACCAGGCTGCGGTGCTTCGACTC ATGGGCGGCGGTGACACGGGCTTCTCAGGCTCGGGCGGCTTGGCAGCCTCCTCCTCCAGCTGTTGCTGTGGGGAGAGGCA
CTTGAAAACTCCCAGCCCCCTTTGTCCAGATGGGGATGGAGGTGGCCAGGCTGCCCCGTTGATTGTGTGCCGAGGAGCCCTCCCCGGGAAGGCTGTGATTTAT
TH EM 1 CGCGCAGGCTTGTCACGGGGTGAAAGGAAGGGCCACTTTTTCATTTTGATCCAATGTTAGGTTTGAAAGCCACCCACTGCTGTAAACTCAGCTGGATCCGCGG
147
32C CCGTGATTAAACACATTGCCCGCTTTGTTGCCGAGATGGTGTTTCGGAAGGCGCTGTGAATGCACTTCCCTTTGCGGGGCTCACACAGACAAGATGTGTGTTG
AAGGATGAGGCGCCTGCTCGGCCTCCAGCCCAGGGCCGGGAAGGGAGAAGGTGCTGTGCGTCGCTGCCTGTGTCGCCCGCGGCTCTCC
CGCGTCAGGGCCGAGCTCTTCACTGGCCTGCTCCGCGCTCTTCAATGCCAGCGCCAGGCGCTCACCCTGCAGAGCGTCCCGCCTCTCAAAGAGGGGTGTGACC GCGAGTTTAGATAGGAGGTTCCTGCCGTGGGGAACACCCCGCCGCCCTCGGAGCTTTTTCTGTGGCGCAGCTTCTCCGCCCGAGCCGCGCGCGGAGCTGCCGG GGCTCCTTAGCACCCGGGCGCCGGGGCCCTCGCCCTTCCGCAGCCTTCACTCCAGCCCTCTGCTCCCGCACGCCATGAAGTCGCCGTTCTACCGCTGCCAGAA ACCACCTCTGTGGAAAAAGGCAACTCGGCGGTGATGGGCGGGGTGCTCTTCAGCACCGGCCTCCTGGGCAACCTGCTGGCCCTGGGGCTGCTGGCGCGCTCGG
148 PTGDR
GCTGGGGTGGTGCTCGCGGCGTCCACTGCGCCCGCTGCCCTCGGTCTTCTACATGCTGGTGTGTGGCCTGACGGTCACCGACTTGCTGGGCAAGTGCCTCCTA GCCCGGTGGTGCTGGCTGCCTACGCTCAGAACCGGAGTCTGCGGGTGCTTGCGCCCGCATTGGACAACTCGTTGTGCCAAGCCTTCGCCTTCTTCATGTCCTT TTTGGGCTCTCCTCGACACTGCAACTCCTGGCCATGGCACTGGAGTGCTGGCTCTCCCTAGGGCACCCTTTCTTCTACCGACGGCACATCACCCTGCGCCTGG CGCACTGGTGGCCCCGGTGGTGAGCGCCTTCTCCCTGGCTTTCTGCGCGCTACCTTTCATGGGCTTCGGGAAGTTCGTGCAGTACTGCCCCGGCACCTGGTGC
SEQ
GENE
ID SEQUENCE NAME
NO
TTATCCAGATGGTCCACGAGGAGGGCTCGCTGTCGGTGCTGGGGTACTCTGTGCTCTACTCCAGCCTCATGGCGCTGCTGGTCCTCGCCACCGTGCTGTGCAA CTCGGCGCCATGCGCAACCTCTATGCGATGCACCGGCGGCTGCAGCGGCACCCGCGCTCCTGCACCAGGGACTGTGCCGAGCCGCGCGCGGACGGGAGGGAAG GTCCCCTCAGCCCCTGGAGGAGCTGGATCACCTCCTGCTGCTGGCGCTGATGACCGTGCTCTTCACTATGTGTTCTCTGCCCGTAATTGTGAGTCCCCGGGCC CGAGGCAGCAGGGCACTGAGACTGTCCGGCCGCGGATGCGGGGCGGGAAGGGTGGA
CTTCCGCCGCGGTATCTGCGTGCCCTTTTCTGGGCGAGCCCTGGGAGATCCAGGGAGAACTGGGCGCTCCAGATGGTGTATGTCTGTACCTTCACAGCAAGGC TCCCTTGGATTTGAGGCTTCCTATTTTGTCTGGGATCGGGGTTTCTCCTTGTCCCAGTGGCAGCCCCGCGTTGCGGGTTCCGGGCGCTGCGCGGAGCCCAAGG TGCATGGCAGTGTGCAGCGCCCGCCAGTCGGGCTGGTGGGTTGTGCACTCCGTCGGCAGCTGCAGAAAGGTGGGAGTGCAGGTCTTGCCTTTCCTCACCGGGC GTTGGCTTCCAGCACCGAGGCTGACCTATCGTGGCAAGTTTGCGGCCCCCGCAGATCCCCAGTGGAGAAAGAGGGCTCTTCCGATGCGATCGAGTGTGCGCCT CCCGCAAAGCAATGCAGACCCTAAATCACTCAAGGCCTGGAGCTCCAGTCTCAAAGGTGGCAGAAAAGGCCAGACCTAACTCGAGCACCTACTGCCTTCTGCT GCCCCGCAGAGCCTTCAGGGACTGACTGGGACGCCCCTGGTGGCGGGCAGTCCCATCCGCCATGAGAACGCCGTGCAGGGCAGCGCAGTGGAGGTGCAGACGT CCAGCCGCCGTGGAAGGCGCTCAGCGAGTTTGCCCTCCAGAGCGACCTGGACCAACCCGCCTTCCAACAGCTGGTGAGGCCCTGCCCTACCCGCCCCGACCTC GGACTCTGCGGGTTGGGGATTTAGCCACTTAGCCTGGCAGAGAGGGGAGGGGGTGGCCTTGGGCTGAGGGGCTGGGTACAGCCCTAGGCGGTGGGGGAGGGGG ACAG GGCGGGC C GAAACC CACC CGGCCCA ACGCGCCC AAACCAGG C CCC GGA AAAG GC CACAAGAGAGG CGCAGGA AACCAACCC CTCCCCCGCCCTAATCCCCCCCTCGTGCGCCTGGGGACCTGGCCTCCTTCTCCGCAGGGCTTGCTCTCAGCTGGCGGCCGGTCCCCAAGGGACACTTTCCGAC
149 ISL2
CGGAGCACGCGGCCCTGGAGCACCAGCTCGCGTGCCTCTTCACCTGCCTCTTCCCGGTGTTTCCGCCGCCCCAGGTCTCCTTCTCCGAGTCCGGCTCCCTAGG AACTCCTCCGGCAGCGACGTGACCTCCCTGTCCTCGCAGCTCCCGGACACCCCCAACAGTATGGTGCCGAGTCCCGTGGAGACGTGAGGGGGACCCCTCCCTG CAGCCCGCGGACCTCGCATGCTCCCTGCATGAGACTCACCCATGCTCAGGCCATTCCAGTTCCGAAAGCTCTCTCGCCTTCGTAATTATTCTATTGTTATTTA GAGAGAGTACCGAGAGACACGGTCTGGACAGCCCAAGGCGCCAGGATGCAACCTGCTTTCACCAGACTGCAGACCCCTGCTCCGAGGACTCTTAGTTTTTCAA ACCAGAATCTGGGACTTACCAGGGTTAGCTCTGCCCTCTCCTCTCCTCTCTACGTGGCCGCCGCTCTGTCTCTCCACGCCCCACCTGTGTCCCCATCTCGGCC GCCCGGAGCTCGCCCACGCGGACCCCCGCCCTGCCCCAGCTCAGCGCTCCCTGGCGGCTTCGCCCGGGCTCCTAGCGGGGAAAAGGAAGGGGATAACTCAGAG AACAGACACTCAAACTCCCAAAGCGCATGATTGCTGGGAAACAGTAGAAACCAGACTTGCCTTGAAAGTGTTTAAGTTATTCGACGGAGGACAGAGTATGTGA CCTTTGCCGAACAAACAAACGTAAGTTATTGTTATTTATTGTGAGAACAGCCAGTTCATAGTGGGACTTGTATTTTGATCTTAATAAAAAATAATAACCCGGG CGACGCCACTCCTCTGTGCTGTTGGCGCGGCGGGAGGGCCGGCGGAGGCCAGTTCAGGGGTCAGGCTGGCGTCGGCTGCCGGGGCTCCGCGTGCTGCGGGCGG GCGGGCCCGGTGGGGATTGGGCGC
AGTTTGGGGAGCCTTTTCTCCATTTGAGAAAAAACAAACTTACAGCGAGGGGTGAGGGGTTAGGGTTTGGGATTGGGGAAAATGTGGGTGGGGAGCCCCCCCA GGAAGTGAGGAGGGGGCTGCAAGGATTACACCTGGGCATACGTTTCCCTAGAAATCACATTCATTGTATTTTTATAATTTATTCTAAATCTTTCATGCGAAGA
chrl5:8 AGTCAGTAGTGAGTGTTAGTACTGGTGGCCCTCCTGATCACACTTGCATCTCTTGAGTGTGCCTTAAAGGTCTTGGGAATGGAAAATATAAAAACTGCTTCGT 775000 ATGCGTCATCTTTATCCCCCACTCCCCCACCCATTCCAATATATTTTCTACTTCCAGCCTAAATTCGGGGCCCCCTACCGAGGCCGGCCATGATCTTGAGGGC
150 0- GCATAGGGGAGGCCGCGCTCTGTCCACCCCAGCCTGGTGATGCCGTTCGCTTCTTGTGCCCGGTATTGTGGGCTACATGCCTTTCCGGCGTACGGAGCTGAGC
877510 TCCAGGCCAGTGCCCCTCAACCTCTCAGTAATGTTTACCCGAGGCCGTCGTGCAATGAGACTATTCGCATGGCATTGTCAACGCGGCGGCGCGCGCGTCTCGG 00 CCTCCGCGGCTTGCCAGACTGTCCTGCAAACCACCTCACCCGTCTCTTTGGCGCAGGAGACTCAGGCTGTAACCGGAGAAAACACTTCACCCTGGAACCCTAA
TCAGGTCCTGGCAAAAGATGCGAGAGGAAGACTTGCTCTCTTAATAAATCTCGGCCGCCCGCACATCTGGCCCCTAGACCTGCTCGGTAGAGGACTGGCTGGT GATGCGCGGTCCAGGCCGTGGGCACTCGACCCACCTCTATTTTCCTTCCCGAGGCGCCCCTGGATTACCACTTTCGGTTTGCGCTTACATCCGGGATGTCGAA
SEQ
GENE
ID SEQUENCE NAME
NO
TTCCCAGGGAATCATAATTATTTTATCTATAATTTATTCTAACCCCAAGGTTCCAAGAAAATCT
ACATTCCTTCTAAAATGTGGGCTTTCTGTGTACATGGGCGCGCATTCCCAGGACTCGGTTCCCTGGGTGGAATTCACCCAGGAATACAATCGATTTTCTGAAC TGCGTAAGGCCACAGGCAGCTCTGAAAATGAAAGCGTTTGCTAAGTGGGGGAGATCTCACCGATCGAACGTTTAAAAATGGCTTTGTCTTCATTCAGCTCTCC GATTTATTCTGTGTTTTACAAATAGAAGCTCAGAGCTTCTGTCGCCCAGTCCTTGCATGACTCATGGCGGTGGCCACACGGGTTTCAGGGATAACGGGATGTT
chrl5:8 AGAAAATCGCTGCATATCGGAGTTTCCTAGCACGTTCCATTTATACTGAACGCAGGCGGCCGCTGAAAATCCAGCCTCGACTCTTGCTAATGACTGGGTAGGA 775300 CCTCGGGGTCCTGCGACGGTGCTGGAGGGTGTTCCCGGCTCCGATGTGGGGAGGCCTGCGCGGGGACTAGGTTCTCGAGAGGCGAGCGGGCGCGCCAGAGAAC
151 0- CGAGACTGCTGCGGGGCCGGATGCGGGATCCCTGGGCTGCGGTTCTACGCAGAAACGCCAATGGCCATGCCTCCCCAGCTCCTCCCAGCCCCAGTCACTAGGC
877541 GGCGCCTGGCCCGGAGATCCTCCCAGAGCCCTGGCGGTGCCATCATGCCGGAGAAGACAAGCTCGGCCCCGCTGGAATTCGCTCCAAACACAGATGCTCATTT 00 TGGAATATTCTAGAAAAATAACAAGATCTTGTTTGTCGTTATGATTCACGGGAGGTAACTGATGGGAGGGCCATTTACATGAGGGCAGACACTGTGGGGCGAA
GTGACTTCTGGACGTAGGCTTTAAAGTAGGAACGGCTCCAAATTCCCAATATCTCCGGCCTTACCGGTTGCAAATCGGACCCCTGCGGGAAAACCAGACACTT TGTTTCGTGGCTTTCGGGCTGCCTCCAGCCCACGCAGGCTCGTTTAGTCCCCGTGGAGTCAGCCCCGAGCCTTCCTAGTCCTGGAACAAGGGCTCCAGGTCGC GCCGCGGGAAGCCGCCAAGAGGGCGGGGAGTAGGGATTCCCTCCAGCTCCGCAGGGCATC
TCCTCCTCGGCCTCAGATGTCGTCCCACCTGCCCACGAGCAGGGAACCTGGAACCCACTCTCCCGGCAGTCCCCAGCGGGTTCCGCCACCCGGCGGCCGCCCC GACACCGAGTGGGTGGGAGGAAGAGGCAGCTGGCGGGGATGGGCCATTGAGACCTCTTGAAAAATATTAAAAGACAGGATGGGTAGAGATTTCTCCGGGAGAA GTTCGAGGGTGCATCGGGTCGCGGCTGGGAGGAGTACCCGAAATGCCAGCAGGAGAAATGCAACCTGTTTAGGCCACACCTTCAATCCCCGAGGCTGTCTGGA AGACTGCGTGCGGGGGACTTGCCGGCGTTCCCACACCGCGCCTGCAATCCACTCCCGCGGCTGCCTGGCCTCTGCCACTCGCGGCTTGAAGCCAGTGGCTCTC AGCCCTCGGCCCCGCGGCGGCCCGCGCAGCCTTCACCCGGCGCCGGCACCACGAAGCCTGGCCGCAGTGGACTCCCCGCAGCTCGCTGCGCCCTGGCGTCTCC GTCGAGGAGGGAGGGACGGAGGCCTGAGCCGGGAGCTCCCTGGCGGTGGTCGGGCCGCCCCCCTTGAGGCCTGCTCCCCCCTCTCGGCCTCGCCAAATCCCTG AAGCCCAGTCCCCCTTCGTCACCCCGGGGGCTTCTAATCACTCGGTATCGATTTCCCTAACTCTTTTCATCCTGTTGAAGACACATCTTAAAACACTCCAGCC
152 N 2F2 GGAGTGTGCTCTGGGCTTTATCCACACTAATAAAATGATTTACCCTTCTCTCCGCGCTCTCCTCACAGAGGAAAATCGTTCGAGCCCCGGCTATTTGTGTGTG
TCAGTAAATATTTAGTGCGCTGACATCCTTAGCTGGGCTTCGGATCGATTCGGGGCCCACCGGGAGGTGCGCACGGTCCGGGCGGGGCCGCGCCGAGCTCGCC AGGGGGCTCCTCCCGCCCTCGCCGCCGGCCGCTGATTTACGGCCCCTGCAACCAGCTAAGGGGGGCGAAAGCGCGCCTGGAAAATTGGCTTTTCAACCTTTTA TTTTGACATTCAGCCACTTCCCCAGGCTCTAATTCTCGCCCGCACTCCTCCCTCCCGCCCTACTAAGGGTTGCCCTGTGCGCCCTGCGAGCCCTTCCAGCAGC ACGCGCGGCGCTCGCGCCCCCTCGGCCCGGGGACCACCTATCACAGCCCTGAGCCGCGACGCGGGGAGGCCCCGGCCCCTGCTATGGGGGTCGCCTCCTTCGA GAGAGATGCTCTCCGCCCGCCCACACCTCTGAGGGAGGAGAGGGGGTGGAGAAGCCCAGAGCTGCATCTGCTGGATGACGAGCCGCTCTCCCTGCTACCCTTT TCCGACCCGTCGGCCTTTCTCCTACTCTGGAGACTGATCCTCGACGTCCATCGGGCCGGATGGCGTCGGGTGGAAGCGTTACTTTCCTCGCAGAAAAACTCCT CTCTTTCCTAAGATCAGAAAAAGCGCTTAGCTTGGAATTGTTAG
CCTAGGCATTCTCAGCCCGTTTTGCTGGAGGGGGCATTTGAGGCCTGGCCAGCTTAGCCAGCCTACAAGGAGTGTTACTGGGGTGAAAACAGCCAGCGGGGAC
chrl6:l
AGTCTGCTTGTGGCCCGCCAGGTGCCTGGGATGGGGAAGCAGCAAATGCCCACCTTCCTGCCCAACCCCCTCCTCCCTCTTCATGGGGGGAACTGGGGGTGGC
123430
GCGGCTGCCGGGTGCGAGCGGGCTCAGGCCTGTGGCCCTGCCTGACGTTGGTCCCCATCAAGCCATGTGACGAGACCAGGCCACAAGAAAGAGGTTTCAACAA
153 0- CGTTATCGTTTCCTGGAACTCCAACTCGGCGACTTCCCCGAAGACCGGCTGTGCCTGGCGGGCGGGCTGCGCACAGCGGGGACAAGGCTGCCCCCTTCCTCCT
112349
CGCTGCCTCCGCGGCCGCGTCTATCTCAGTCTGACTACCTGGAAGCAGCACTCCACCCTCCAGCCCAGCGGCCCTCGGCTCAGCTGCCAGGTCACCGGCAACC
00 CGGGAGCGGTGGGGCAGGGGCTGCTCCGCCAGCCTCTGTGATGTTCAGGCCGGGCTGCACCAGCCCGGGACCCCTAGGTG
Figure imgf000121_0001
SEQ
GENE
ID SEQUENCE NAME
NO
GCGCGGGGGGCCGGAGGATGGCGGCCTGGGGGCCCTGCGGGGGCTGTCGGTGGCCGCCAGCTGCCTGGTGGTGCTGGAGAACTTGCTGGTGCTGGCGGCCATC CCAGCCACATGCGGTCGCGACGCTGGGTCTACTATTGCCTGGTGAACATCACGCTGAGTGACCTGCTCACGGGCGCGGCCTACCTGGCCAACGTGCTGCTGTC GGGGCCCGCACCTTCCGTCTGGCGCCCGCCCAGTGGTTCCTACGGGAGGGCCTGCTCTTCACCGCCCTGGCCGCCTCCACCTTCAGCCTGCTCTTCACTGCAG GGAGCGCTTTGCCACCATGGTGCGGCCGGTGGCCGAGAGCGGGGCCACCAAGACCAGCCGCGTCTACGGCTTCATCGGCCTCTGCTGGCTGCTGGCCGCGCTG TGGGGATGCTGCCTTTGCTGGGCTGGAACTGCCTGTGCGCCTTTGACCGCTGCTCCAGCCTTCTGCCCCTCTACTCCAAGCGCTACATCCTCTTCTGCCTGGT ATCTTCGCCGGCGTCCTGGCCACCATCATGGGCCTCTATGGGGCCATCTTCCGCCTGGTGCAGGCCAGCGGGCAGAAGGCCCCACGCCCAGCGGCCCGCCGCA
159 S1P 4 GGCCCGCCGCCTGCTGAAGACGGTGCTGATGATCCTGCTGGCCTTCCTGGTGTGCTGGGGCCCACTCTTCGGGCTGCTGCTGGCCGACGTCTTTGGCTCCAAC
TCTGGGCCCAGGAGTACCTGCGGGGCATGGACTGGATCCTGGCCCTGGCCGTCCTCAACTCGGCGGTCAACCCCATCATCTACTCCTTCCGCAGCAGGGAGGT TGCAGAGCCGTGCTCAGCTTCCTCTGCTGCGGGTGTCTCCGGCTGGGCATGCGAGGGCCCGGGGACTGCCTGGCCCGGGCCGTCGAGGCTCACTCCGGAGCTT CACCACCGACAGCTCTCTGAGGCCAAGGGACAGCTTTCGCGGCTCCCGCTCGCTCAGCTTTCGGATGCGGGAGCCCCTGTCCAGCATCTCCAGCGTGCGGAGC TCTGAAGTTGCAGTCTTGCGTGTGGATGGTGCAGCCACCGGGTGCGTGCCAGGCAGGCCCTCCTGGGGTACAGGAAGCTGTGTGCACGCAGCCTCGCCTGTAT GGGAGCAGGGAACGGGACAGGCCCCCATGGTCTTCCCGGTGGCCTCTCGGGGCTTC
GGGCGGGTTGCCACAC GTCCCCTTTCTGCAT GGGAGGAAGGGGGC T C GAGAAC T GAGTCAGC C AC AC AAAAC GAGGAT GGAC AGAAC T C C T GAGTAGC GAGG TGCCTGCCGGGCGC GAGGAGGAGGGGGAAGAC GAGGAAGAC GAGGAGGAGGAA AGGGAGC AC C AC AT GAC AGAGGGGC T GC C T CAGAC C AC AAAGC GC T T C C
MAP2K CATCCTTTCCTCGCCCTTTGATGCCGCCGGCAACGTGACTCTGCGAGCAGCGGGGCAGACGCCAGGTCTCCCTCGCAGGCGGGAAAGGGGCTCCAAGGCGGGT
160
2 CTGCCTTGCTCGGGTCACATGGCTACGTGGGGGCCTTGCTCAAATTCACTTCCTGCCTTCATTACAAAACTGTCAAAGGGGATCGCACGTTTGCAGGGTGTCA
CCAAGCATTCTGGTTTTGCAAACGACGCTGTGCGGCAGGCGGTCTGATACCTGATGAGCTCGGTGTGGCGGGGTCGGCAGCATTTCCTCCGGGGTTTTGAGCT TGGCCACTTCTCCTTTTGTTCCACCCAATCTCACCCACTTCTGGGCTTCGAGGCCAGAGTGTCTTAACAAGGGGGCACGT
GAGC GAGAC T T T GT C T C AAAAAAAAAAAAAAC C AAAT AAAT T GAAAGC T GAGAAAT T C AGAGC AC AAGAAGAC AAGC GCGCCCCCTCTTTTAGC T GT C AAC AT GCGGAGCCGTCCCTGGTGACGCAGCCTCCAAAGGCCTCCCTGTGCCCTCCTGAGACCGCAAGAGGGAAAGTGGCAGCGACAGTGATCGTGGTGTCTTTGTGGC
161 UHRF1 GTTGTGTTGACCTCACTGACCCCCGAAGTGCCGCTCTAGGGTCTGTCCTCAGCGGTGACCCGGCCGGGTCGAAGGGCAGAGTTCCGCTGTCACTAGCCCTCCA
CCGTCCTGTGTGCTGGGATGCCCTCGCGGCGCCGTCCACGCCACCGCCGCCCCCTCTTGTGGGTTCTGTCTCCTCCGTGTCTAGGATCCTCCTGCATCCGTTT TCCTTCCTCCCTTCTCTCCCTCCGTCTGTCTTGCCCGCACCTGAGGTTGTCGCAGAGGCGCTGAGACGGGCCAGCAGGAGCTGT
TGCTGTCCCGGTCCTGTCGCAGTCCTCAAAGATGCTAGAGTGACAGTCCTCTAGGGGTAGAGATGGTCGTCCTCCCAGGAGAAGGTGGCCCGGAGACTTGGAG TGGGATCAATCCTGCCAGTCCTGGATCAGGAGGCCTCTGTCGGGCGCCGCCCCCCTTCCTCCTCCATCAGCAACAGGCGGCGCCGGCCAGCCTCATAGTCAGC TCATCCACACTGACCAGCAGGCGAACAGCCTCCCGGCCCACAGCCTCTCGCAGGGCCTCAGTCAGGAACACGCCCCGCAGGGCCTGCAGCAGGGCGCCACTCA
162 DEDD2 GTAGTCGCCCCAGAAGGCGTCCAGATAGGAGAGCTCTGAGAACTTGATGTCACAAACCACAGAGCCCAGGTCCCTTGAGCGCAGCACTGCGGTGGCCTGCCCA
ACACGTCCAGCTGCCGCGCCAGCGCCTGGGGCCGCCGGGATGCCACGCCCTGCTCCAAGGCTGGCCCATGCTCGCAGTACTCTGCTCGAACCCGGAGCCGGAT T C T GC AGGGGAAGGAGGGAT T T GT C AGGGAGGGGGC C AAC AC T AGAC AC AC T T AT GGGGAAC GC C AC C C T T C C T C C C T C C
TGATGCCCGGCCCCCAGGGGGGCAGAGGCGCCGCCACCATGAGCCTGGGCAAGCTCTCGCCTGTGGGCTGGGTGTCCAGTTCACAGGGAAAGAGGCGGCTGAC
CDC42E GCAGACATGATCAGCCACCCACTCGGGGACTTCCGCCACACCATGCATGTGGGCCGTGGCGGGGATGTCTTCGGGGACACGTCCTTCCTCAGCAACCACGGTG
163
PI CAGCTCCGGGAGCACCCATCGCTCACCCCGCAGCTTCCTGGCCAAGAAGCTGCAGCTGGTGCGGAGGGTGGGGGCGCCCCCCCGGAGGATGGCATCTCCCCCT CACCCTCCCCGGCTCCACCGGCCATCTCCCCCATCATCAAGAACGCCATCTCCCTGCCCCAGCTCAACCAGGCCGCCTACGACAGCCTCGTGGTTGGCAAGCT
Figure imgf000123_0001
GTGGGTGCAGCGCACCAGCATGTCACACGTTTACATATGTAACTAACCTGCACATTGTGCACATGTACCCTAAAACTTAAAGTATAATAAAAAAAATACTGTT CTGCCATACATACAGATACTCATTAAAGATGAGGGAGAAGGGCATGGGGTGGGGGAGAATGTACCAAAACCAAAGACCACAGGATAATAACCTCAGAGCAGA ACTATCTCTCTAGTTATTTTTTCTTTTGTATGTAATGGAGAGGATTATTATTTACTCTGATGAAGAAGTTTACATCAAGTGTTCAGCTTCCTTTGTGGGTTAC AGAGAATAACCAGAGGGCTCAGTTATGCTCTCTGAATAACTATGTTTGCTTAGTGTTTTCTAAACAATATTAAATTTCACTAAAATAGACAAGGTTGATAGG CTTGGGGGCATAACTCATTGACTCAAGCTATCATTTTATAGGATTGTGAGAAAACAAATAGATGAACATTTAAAATACACTCATATTCTCGCTAGAAAAGAG ATTTTGAATATTCTTACATCAAAGACATGGTAAATGTTTAAGGCAATGAATATGCTAATTACCATGATTTGATCATTATGCAATGTAAAATGTACTGAAACAT CACATTGTACCTCATAAATATGTACAATTTATTATGTGCGAATTAAAATTTTGAGTATAAGAAAAAATAAACTTCAATTGTAAGAAAACAACCCAACTTTTA AAAACGGGCAAAATACGTGAACAGATACTTCACTAATAGAGATTTGCAACTGGCAAATAAGCAAATGAAAAACTGGTCATCATCACTATCTATTAGAGAAAT CAGATTAAAACTACAATAAGAAACAATGCTGCCCGTCCAGACGCATTGTTTTGACCGTTTCCAACTTGTCCCAGCCCTTCCCGGGGCATCGCTGGGGACCCT CGCCGACGTCCCCCCTCCGCCCGCGCCCCAAGGGCCGACTGGGCAAATTGGGAGACCCGCCCCGCGGGGCGACCCAACTTTTCGGAACAGCACCCCACCGCCC ACCCCCGCAGACCCCCGGACCCCCGCTCCCGGCGGAGACTCAGGGAACCCCGCACCCCAAGCCCTTCTAAATCGTGCAGCGTGAGTGTGACGGCCAAGAGCG ATGCAGCCCGGGATCGCCCGCACCTTCCCGTGGGCGGAAGCGCAGGAGCCAGCTGGGGAGGGGGCGCCCTAGAGGAGCGGCTAGAAAGCAGACACGGGGAACT CAGGTCATCCTGGGGGGGGACAAGACAACGAGAGCCGGGCGCCTCGGGGGCGGCGCGGGAGCCTCCGCAGGACCGGGCGGGCGCCCCGGCTGGCGCGGGCGG GGGCGCGCCCCCTTTACCTGCGGCTCCGGCTCCTAGGCCATTTCCTCACGCGGCGGCGGCCGGGACTGAGCTAACACCACTCAGGCCGGCCGGGTTTGAATG GGAGGAGCGGGCGCGGAGAGGAGGGGACGGGGAGGGCGGAGGGAGGGAGGGAGGCGTCGCGGAGTTTTTCTCGGCCTTTTGTGCGGACACCTCCCGGATTCC CGCCCGCACCCGGCCCCCCAAAAGACACGGGGAGCCGCGGGCGAGGGGTTCAGCCATCCGCCGAGGCGCCTAGTGCCTTCGCGCCTCCAAGACCCCCCCCCA CAAAAAGGAGCGTCCCCCACCCCTACCCCCGCCCGGAGGACTTAGGGCCTGGGCTCACCTCGGGCGCGGAGCTAAGTGTAGGCGCCGGGGGTCCCTAGAGCC CCGGGGCGCAGCGAGTCCGGCGCTGGGTAACTGTTGGGTCAGAAACTGTTCAGGTAGCAGCTGTTGTGCCCTCCCTTGGCCCCGCCGCTCGGAGACGCCCCGC CCCCTGCCTTGAACGGCCGCCCGGCCCCGCCCCAGCGCCCACGTGACTAGCATAGGCGCGCCCCCGTTCCGCCCGCCGCCGCAGACTCCGCCTCCGGGACGC AGCGAGCGGCGAGCGCGCGCACTACCAGTTCTTGCTCGGCGACTCCCGCGCACGCGCGCGCCGTGCCACCCTCCCCGCACCCCTCCTCCCGCCATCCGGCTT ACGTGGCGGGCGCGCGCCGCGGCAGTAGCCGTGACAGGTACCCGGCGGGGCGGGGGGGGAGGGGGTTGGCCCGCGAGGGTGTGCGCAGGCACAGACCCGGGTC CTGTCCCCGCCGCCCCCTCCTCTGCAAGGTGTGCCTGGGCGAGGGGAGGGGCCCGCGGCCCGAACCCCTGGGTCACCCCCGAATTACAAACAAAAACCTTAAC GCCATTGCTCGCGGGTTAGAAGGCAGCTGTGCGTGCTCAGGAAAAGAAGCCACGCACAAGAGACCGCACGCGGCGTGGATACAGTGACACGAAACACCCAAA TCTCTTTTGAAAGGGAAACCAGGCACAGTGGCTCATGCCTATAATCCCAGCACTTTCGGGGGCCAAGGCGCTCACCTAAACCCGAGAGTTCAAGACCAGCCT GGCAATACAGCGAAACCCTGTCTCTACGAAAAATATAAAAATTAGCTGGGCATAGGGCTGGGCACGGTGGCTCACGCCTGTAATCCCAGCATTTTGGAGGCC AGGCGGGCGGATCACGAGGTCAGGAGTTCCAGACCATCCTGGCTAACACAGTGAAACCTTCTCTCTACTAAAAATACAAAAAAAATTAGCCGGGCGTGGTGGC AGGTGCCTGTAGTCCTAGCTACTTGGGAGGTTGAGGCAGGAGAATGGCATGAATCAGGGAGCGGAGGCTGCAGTGAGCTGAGATTGCGCCACTGCACTCCAGC CTGGGGGACAGAGTGAGACTCCGTCTCAAAAAAAAAAATAATAATTAGCTGGGCATGGTGGCTGGCACACATGGTCCCAGCTACTCAGGAGGCTGAGGTGGA GGATCTCTTGATCCCGGGGAGGTCAAGGCTGCAGTGAGCCAAGATGGCATCACCGCACTCCAGCCTGGGCCACAGACCCTGTCTCAAAAAAAAAAGAGAAAGT GGGGAAGAAAATGTAATACAAATTAATATACCAACAGCAATTAGTGAGTACTTTTTCCATGGAGCTGGGAGAGGGAATAAATGTTTGTAAAATTAAAATGTTC TACGCTAGAAATCAACTTTCCTTCTATGCTTTCTTTACTTCACCCCTTATAGCTACTTAGTAAATCTCACAAATCCTATCCTTCTGATCTCTCTGAAATGTAT GTACCCTTTCCCTTCTATTCTCACCACCCATGTTTCTTTGTTTCCTTCTAGCCTGTGTAATAATCTCATAATCGCACCTCCTGTACCTGCCTTCTTTCTAGTC CAGAATACGTTTTCCTAAATTCCACCAATAACCATCCTGCTACTGCTTTGTGTGAAATTCTCCAAAAAAAATTTTACTTTTCCAAAATAAGTCAGGCTCCCTC TCTTAGGATACAAAACCACACCATGGTCCCAGCCAATCTTTCAGCCTGATTCACTCAGTATATATTTATTGACCTCTCCTTTCTCCCAAGCACTTGGCTAGAT AATAATTAAAGAGTGCGGCACAAAACAAATTGGATTCCTCCCCTCATGGAGCTTGTATTTTCACAGGAAGCACAGACATTAAATAAATTAAAACACAAAAAA TAGACAAGCATATAATTACAGTATGTATCCTAGAGAAATATCACTCATGCAGAAAGCATACACAAGGATGCAGCACTGTTTCCAATAGCGAAAAGCTAGAAAC
AACCTACATGTTCACCAAAAGAAAATGGCCACATAAACTATACCATATCCAAATTATCCAAATTTTAGAATATAGACAACAGGTTGGGCGCGGTGGCTCACAC CTGTAATCCCAGCACTTTGGGAAGCCGAGGCGGGTGGATCACAAGGTCAGGAGTTCAAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCCTCTAAAAAA C AAAAAAAT CAGCTGGGCAC T GT GGC AGGAGC CTGTAATCCCAGCTACT GAGGAGAC T GAGGC AGGAGAAT C GC T T GAAC C C T GGAGGC AGAGGT T GC AGT G GC CAAGAT CGCGCCACTGCACTCTAGCCT GGGT GAC AGAGC AAGAC TCCATCTCAG
TGTAGGAGTCCTCCGGTGCTGGAGTCCAGAGCACAGTGAGGCTGGGTCCTCCCGTGCCATAGTGTAGGGCATGGCGGGACAGGGATCCTGCCCTGCGATAGTC CAGTGCTTGAGTCCGCAGTAAGGCAATGGTCCTCCAATGCTGGAGTTCACGGCGTTGTGGGGTCGGGGTCCTTTGGTGACTTAGTCCAGGGCGTACCAGGGC GGGGTCCACAGTTGCCATAGTGAGGATCTTGGAGGAAGGTGGTTCCTGCCTTGCTGTAGTCCGGGGAGCAGGGGGCAGGGGTCCTCTCTTGTCAGAGTCTCT GCGCGGGGTGGGGGTGGAGGTGGGGGTTTTCCTATGCGATAGCCCACGGGTCGGTGAAGCCGGGTCCTCCCGTGCCTTTGTCCAGGGCGCAGGGGGGCGAGG TCTTCGGTGGTGGAGTCCGCGGAGCGGCAGGACGGGGGTCCTCCAGTGCCATATTCCAGGGCGCGGCGGAGTGGGGGACCTGTCCTGCAGTGGTCCAGGGCAT
chr21:l GTGGGAGTGGTGGTCCTGCTGTGCCTCAGTCCAGTGCGCGGTGGGACGGCGGTCCTGCTGTGCTGTAGTGCAGGACGCGGTGGCGCAGGGGTAGTCCAGAGA 397450 CGCCGTGGCAGGGGGTCCTCCAGTGCTGGAATCCAGTGCAAGGCGGGTCAGGGGTCTTACCGTGCCGAAGTCGGTGGCAAGGGTCCTCCCGTGCCATAGTCT
168 0- GGGGGCGACGGGGCAGGGTTCTCTAGTGCAGGTGTCCAGGGTGTGGCAGGGCAGGAGTCCTCTTGTGCAGGAGTCCAGGACGTAGCCGAGGAGTCCTCCAAT
139760 TCAGAGTCCAGGGCTCTGCGGGGCCGGGTTCCCCCATGCCAGAGTGTAGGGCGCGTTCAGGTGAGGGTCTTGGCGTGCAGTAATCCAGGGTGCGGTGGGGCA 00 GGGTAGTCCAGACCTCCATGGCGGGCGTCCCTCTGTGCAGGAGCCCAGTGCCTGGCGGATCGGGGGTCCTTCTGTGCTGTAGTCCAGGGCACCGCAAGGTGT
GGTCCTCTGGTGCCCTAGTCCAGGGGGCGGCGAGTCAGAGGTTCTCCCGTGTCTCAGTCTAGGGCCTGGTAGGACTGGGGTCCTGGAGTCCACGTGGTAGCCC AAGTTGCCGCAGGACCAGGTACTCTGGAACCACAGTCCAGGGCGCTGAGGGGCAGGAGTAGTTCAGGGCGAGCCGGGGCCCAGGTCCTCGGGAGCCAGAGTCC AGGGTGTGGAGGGGTGGGGGTTCTGCAGTGGCACAGTCCAGGACACCGCGGGGCGGGACAGGGCGGGGATCCTCCCGTGCCTTAGTCCAGGGCTGAGCCGCG GAGAGGTCCTTCAGTAGCACAGTCTAGCGCACGGCGTTGCAGGTGTCCTCCAGTGCCTGAGGCCACGGCAGGTCGCGGGTCCCACTGTGCTCTAGTTCAGGGC GGAGTGGGTCTGAGGTCTTCTCCTGCCTCAGTCTAGGGCGCTGGAGAGCGGGGATCCT
GGGTTGGTCCTAGAAAGCGTGAGGATCGCCGAGTGCACTGCCCTCCCAGCCTAGGGTCCACTCTTCCTTGGCCCGAGCCCAGAGCTCGGGGTTTCAGGCGCT GGCCCTGTGCAGCTGCCCAGAATAGGCTGAGCGGCAGGTTCCCGCCCTGGCAAGGGATCCAGCAGTGGAATCCTCACTGCTGTTGGCTGCGGGCAAGGTCAGC GGGGTTTCCATCGCTGCTGGTGGGAGCCACCTGGCGGTGGTAGCTGCAAGTGAGCGCGTGGCAGAGACTGGCAGGGCTGGTCCCAGACACCCTGAGGGTCTCT GGGTGCATCGCCCTACCACCCTAGGGTCTGCTCTTCCTTAGCCTGCTCCCAGGACGCGGTGTACGAGGGCTAGACTCTGAGCAGCCTCCAGGATGGGGCTGA CAGCGGATTCCTGCCCTGCTGCAGCTACAGTCTGAATTAGGCGCCACCGCAGTATCTGGCCCTGGGGTACGTGCTACTGGGTGGCATGGACAGAGATGGGGGC T GC C AC AGC T GC T AT GGGGC T GAGC AGC C GAT T C T C GC C C T GC T GC AGC GGGC GAC C GC T GC AAT C C C C AGC GC T AT GGGAC C GAC C AC C T GAC T T AGAT GC C
chr21:l TTGGAGGCATCCGGTCCTGGGGTCTTGCTGCTGGTGTCTGCGGGCAGGGTCACGGCTGCCACTACTACTGCTGTGCGCCATGGGCAGGTGCCAGCTGCAGCT 398950 AGTCCGAGGCAGATGCTGTCAGGGCTGGTCTGAGGTTGCCTAAGGGTGGCTGAGTGCACCACGCTTCCACCCCAGGGTCCGTTATTCCTAGGCCGGCTCCCA
169 0- ATTGCAGGGTTGTGGGCGTTGGACACTGTGCAGCCATGAGGATCTGGTTGGGTGCAGATTCCCGCCCTCCTGCAGCTGAGAAGCCAATCTCATAACAGGCGCT
139920 GCAGTGACCTCTGGCTCTGCGGTCCGCGCTGCTGCTGGAGCTGGCAGAGAACAGAGCTGCCACCGCTGCTGCTTCCAGGAGTGTGCAGCTGGCAGCTGCAGCT 00 GAGCCCGTGGCGGAGGCTGGAAGGCCTTATTCCAGAAGCCTTGAGGGTCCCCGAATGCACCGCCCTCCCACCCTAAGGTCCAGTCTTCCTTGCCCGCGCCCA
AGAGTTGGATTGCAGGCGCTGAGCACAGTGCAGGTGCTGGGATGGGGCTAAGCTGAAAGTTTCCGCCCTCTGGCTGCTGCGGGGCCGACAGCCTGAGTTATGC GCCGCGGCGGCTTTTGGTCATGGGATCCGCACTGCCGGTGGCTTGCACAGGGTCGGGGGCTGCCACAGCTGCTATAGTTCACCGTGTGCACGTGGCAGCCGCC CCTGAGCCCACCGCTGAGGCTGCAGGGCTGGTCCGGTCCCAGACGGCCTGAGGGCCATTTGCCCGCGCCCAGATCCGGGTGGCTGCGCTGGGCACTGTGCAGC CTCCCGGAATCCGCTGAAGGGCACGTTCCCGCTCTCCTACAGCTGTGGGCCGACTGCCTGATTTTGGCCACTAGGTGGAGTCTGGCTCTAGGGTTTCGAGGCC GCTGGTGTTGGTGGGCGGAGTCCGGGTTTGCCACCGCTGCGCTCCATGAGCAGGTAGCAGCTGCAGCGGAGCTTTAGACCGAGGCTGGCAGGGCTGGCCCCA ACGGCCTGAGGGTCAGGGAGTGCAGGGTCCTCCCACCCTAGGTCCGCTCTTCCTTTCCCCTTACCCAGAGCGGGTTGTGCGGGCTCTGGGCTCTGTGCCGGC
CTGGGCTCTGTGCAGCCGCCGAGATGGGGCTGAGCAGCGGATTTCCTCCCTGCTGCAGCTGGAGGACGATTACCTGCACTAGCCGCTGAGGCGGCATCTGGCC CTGGGTTACTGCAGCTGGTGACGCGGGCAGGGTCAGGGTTGGTTGCAGGTGGCAGCTGCTGCTAAACCCATTGCGAGCCTCAGGGTCACCAAGTTCACCGTCC TTTCATCATAGTATCTGATCTTTGGCCCGCGCCCAGAGTGCGGACTGGCCTGCGCTGGGGACTGCATAGCTTCTGGGGGCCGGTCAGCGCCAGTTTCACGTCC TCCTGCAGCTGCGTGGCCTAAGGTCTTAGGCGCCGCGGCGCTATCTGGCCCTGCTGTCGACGCTGCTGGTGGTGGGGACAGGGTCAAGGGTTGCCACTGCTGC TCCCGTGCGCCATCGGCAGGTGGCAGTTGCAGATGAGCCCACAATTGAGGCTGTTGGGGCTGCTCCCAGGTTGTTAGAGGGTCGCCGAGTTCACCGACATGCC ACCCTAGGTTACGCTCTTGGCCCGCACCCAGAGCGCCGGGTTACGGGTCCTGGGCCCTGTGCAGCCACGGGGATGGTGCTGAGTGCAGGTTCCCGTCTTCCT AGATGCGGGGCGACCACTGGAATTAGCCTCTGTGGTGGTATCTGACCCTAGGGTCCGAGCTGCTGGTGGCGTGGGCGGGGTCGAAGTCGCCTCTGTTGCTGC GCGTGCCATTTGCACCGTCCTCTGGTAC
AAATACTCTACTGAAAAAACAGAAATAGTAAATGAATACAGTAAAGTTTTAGAATACAAAATCAGCATAGAAAAATCAGTCGCATTTCTATACCCAACAGCAT AC C AT C T GAAAAAGGAAT C AAGAAAC C AAT C C C AT T T AAAAT AGC T AT AAAAAAAT GC C T GGGAAT AAAC T AAGC C AAAT AAAT AT GT C T AAAATGAAAACT TAAAACATTGATAAAAATCAATTGAAAAAGATACAAATAAAGGGAAAGTTATCCCATTTTTATGAATTAGAAGTATTAATACTGTTAAAATGACCATCATACT CAAATCAGTCTATAGGTCCAATACAATCTCTAACAAATTTCCAATGTAATTCTTCAGAGATGTTAAAAAAGGTTTTAAAAATCGTTCTGCGGATGTTAAAAG ATTTTTAAAACGCTTTTTTCGTTCTGCAGGCGAAGGCTGTGGCCGTGCTCCCGCCGGCCAGTTCCCAGCAGCAGCGCATTGCCCCTGCTCCACGCCTTCGCTC CAGGCCCGCAGGGGCGCAGCCCCGCGGGAATCAGCACTGAGCCGGTCCCGCCGCCGCCCCAGTGTCCGGGCTGCGACTGCGGGGAGCCGATCGCCCAGCGATT
chr21:l
GGAGGAGGGCGACGAGGCCTTCCGCCAGAGCGAGTACCAGAAAGCAGCCGGGCTCTTCCGCTCCACGCTGGCCCGGCTGGCGCAGCCCGACCGCGGTCAGTGC
399850
CTGAGGCTGGGGAACGCGCTGGCCCGCGCCGACCGCCTCCCGGTGGCCCTGGGCGCGTTCTGTGTCGCCCTGCGGCTCGAGGCGCTGCGGCCGGAGGAGCTG
170 0- GAGAGCTGGCAGAGCTGGCGGGCGGCCTGGTGTGCCCCGGCCTGCGCGAACGGCCACTGTTCACGGGGAAGCCGGGCGGCGAGCTTGAGGCGCCAGGCTAGG
140001 AGGGCCGGCCCTGGAGCCCGGCGCGCCCCGCGACCTGCTCGGCTGCCCGCGGCTGCTGCACAAGCCGGTGACACTGCCCTGCGGGCTCACGGTCTGCAAGCGC 00 TGCGTGGAGCCGGGGCCGAGCGGCCACAGGCGCTGCGCGTGAACGTGGTGCTGAGCCGCAAGCTGGAGAGGTGCTTCCCGGCCAAGTGCCCGCTGCTCAGGCT
GGAGGGTCAGGCGCGGAGCCTGCAGCGCCAGCAGCAGCCCGAGGCCGCGCTGCTCAGGTGCGACCAGGCCCTGTAGCTGTGACTTGGCTGTGGGGCTGGCCC CCTCCCTGACCCCTGTCAGGCGGAGCAGCTGGAGCTGACCCACGGGCCTGGGCTTTCGAGCGCTTTGTCCAGGCGCTAATGATGGGAAGGTGAAAGGTGGGG TGGCCACACCCTGCAGTCAGGGTGGCAGGTGTCAGAGGCCACATGCAACCCACTGGTTTTGTCTTTTCCAGGATGCTGATAAGTTTCCCGCGGCCCCCGGAGC AGCTCTGTAAGGCCCTGTAATTGCCTTTCGTTCCCTTCTGCTCTATTGAGGAGTGGGAAGATGACAAAGTGTTTTTGCTCAACCCGAAGGAAAATGCACATG GAGGAC AC AC CGGGTTACTATTT GAGT AGC C C AGAC AGGAGAGC AGC GGTCTGCT
TGGGTGGATTGCTTGAGCCCAGGAGTTCGAGACCAGCCTGGACAAAATGGCAGAAACTCCATGTCTACAAAAAATACAAAAATTAGCCGGGCATGATGTTCT CGCCTGTAGTCCCAGCTACTCAGGAGGCTGAGGTGGGAGGATCGCTTGAGCCCAGGAGGCGGAGTTTGCAGTGAGCTGAGATGTCACTGCATTCCAGCCTGG AGAC AGAGC C AGAC T C T GT C T C AAAAGAAAAAAAGAAAAAAAAAAAAGAAAAGAAAAAAC GAAAT TGTATTCT GAAT AC AT C T T C T AAAAC AC T AC AT T T AC T TGCACTATATTAAACTGGTTTTATCCTGACCACAATTGCAGGTGAAAGATACCACTGTTGTTCTATTTTTCTGGTAAGTAGAGTGAGCCATGTCTTCCCCAG
chr21:l
GAAAGACGCCTCCTAAAAATTTGTAGGACCACCTTTGGTTTTCTTCCAGATATTTTTTTTGTCATCGCTTTTCCTGCGCCCAATTCCCATCTGTCTAGCCCTT
401700
CTGCCTCCGCTGGTCTTTTTCGCGAGCCTCTCCCCAGCCGCAGGTATTCGTCTGGGCTGCAGCCCCTCCCATCTCCTGGGGCGTGACCACCTGTCCAGGCCCC
171 0- GCCCCCGTCCAACCCGCGGAGACCCGCCCCCTTCCCCGGACACCGGGTTCAGCGCCCGAGCGTGCGAGCGCGTCCCCGCTCGTCGCCCGGCTCGGCGTCGGG
140185 GCGCGCTCTGTGTGGTCGCTGCTGCAGTGTTGTTGTGGCTGTGAGAAGGCGGCGGCGGCGGCGGAGCAGCAGCCGGACCAGACTCCCTAGTAGCTCAGGCGCT 00 GCCCTGCGCCGGCCCTGGCAGGGAGCCTGGTGAGATGGTGGAGGAGGAGGCTGTGCCGTGGCTGGCCTTGCTGTGTCCTGCTGCCTGGTTAGAACCCCATCCC
CGTCCCCCGTCTCCTCCGGGGGGTGAGGAGGAGCTGGAAGAGGGGCCGGCCTCTGTCCGGCCCGGCCAGGCGGCAGTCACCCTCTGAGGAGGCAGCGCCCGG GAGGGGCCTCCCAGGCGGCCGCCGCCGCCAGGGGGAGGCGCTGGGAGTGGGAGTGGGAGCGGGACCTCAGCTGCCAAGCTCGGCCCGGACCCTAGGTGCGGG GAGGCGGGGTCCCGGGCTCGGGCTGCCTGCCCGGACCTGGCGGGGATGGGCCCGTGCGGCTCCGGGTGTGGGACGTACCCTCAGAGCGCCCGGGGTTATTCCC
ACTGACTCCAGGGAGGTGAGTGTGCGCCCTTCGCTCCCTGCCGTGTCTGTGAGGGTCCATCGTTGCCGGAGACTGGAGGTCGGGGGCCATGGGAGCCCCGGG CGAACGGTGCGGACATGGGCCTTGTGGAAAGGAGGAGTGACCGCCTGAGCGTGCAGCAGGACATCTTCCTGACCTGGTAATAATTAGGTGAGAAGGATGGTT GGGGCGGTCGGCGTAACTCAGGGAACACTGGTCAGGCTGCTCCCCAAACGATTACGGT
GTCTCTAGGACACCCTAAGATGGCGGCGAGGGAGACGGTGAAGGTTGGCTCCCGCCTGTCTGGGCTCTGATCCTCTGTCTCCCCCTCCCCCTGCGGCCGGCTC A GGC C GGC GGAGGC C C GAAC C AAAGAC C C C GC AC C GC C G G AC AAC GC C GC C C G GAC GGC AAGGGGGC AGC GC C C AGAAGC GC C AGC AGC C GG GCCGGGAGGAACTGGACGAGCTGACTGGCTAGGTGGCCGGCGGGGGGACGCCGCTGCTCATCGCCGCCTGCTACGGCCACCTGGACGTGGTGGAGTACCTGGT GGACCCGTGCGGCGCGAGCGTGGAGGCCGGTGGCTCGGTGCACTTCGATGGCGAGACCATGGAGGGTGCGCCGCCGCTGTGGGCGCGGACCACCTGGACGTG TGCGGAGCCTGCTGCGCCGCGGGGCCTCGGTGAACTGCACCACGCGCACCAACTCCACGCCCCTCCGCGCCGCCTGCTTCGAGGGCCTCCTGGAGGTGGTGC CTACCTGGTCGGCGAGCACCAGGCCAACCTGGAGGTGGCCAACCGGCACGGCCACATGTGCCTCATGATCTCGTGCTACAAGGGCCACCGTGAGATCGCCCGC
chr21:l T AC C T GC T GGAGC AGGGC GC C C AGGT GAAC T GGC GC AGC GC C AAGGGC AAC AC GGC C C T GC AC AAC T GT GC C GAGAC C AGC AGC C T GGAGAT C C T GC AGC T GC 405640 TGCTGGGGTGCAAGGCCAGCATGGAACGTGATAGCTACGGCATGACCCCGTTGCTCCCGGCCAGCGTGACGGGCCACACCAACATCGTGGAGTACCTCATCC
172 0- GGAGCAGCCCGGCCAGGAGCAGCTCATAGGGGTAGAGGCTCAGCTTAGGCTGCCCCAAGAAGGCTCCTCCACCAGCCAGGGGTGTGCGCAGCCTCAGGGGGCT
140581 C C GT GC T GC AT C T T C T C C C C T GAGGT AC T GAAC GGGGAAT C T T AC C AAAGC T GC T GT C C C AC C AGC C GGGAAGC T GC C AT GGAAGC C T T GGAAT T GC T GGGAT 00 C T AC C TAT GT GGAT AAGAAAC GAGAT C T GC T T GGGGC C C T T AAAC AC T GGAGGC GGGC CAT GGAGC T GC GT C AC C AGGGGGGT GAGT AC C T GC C C AAAC T GG
GCCCCCACAGCTGGTCCTGGCCTAT GAC T AT T C C AGGGAGGT C AAC AC C AC C GAGGAGC T GGAGGC GC T GAT C AC C GAC GC C GAT GAGAT GCGTATGCAGGCC TTGTTGATCCGGGAGCGCATCCTCAGTCCCTCGCACCCCGACACTTCCTATTGTATCCGTTACAGGGGCGCAGTGTACGCCGACTCGGGGAATATCGAGTGCT ACATCCGCTTGTGGAAGTACGCCCTGGACATGCAACAGAGCAACCTGGAGCCTCTGAGCCCCATGAGCGCCAGCAGCTTCCTCTCCTTCGCCGAACTCTTCTC CTACGTGCTGCAGGACCCGGCTGCCAAAGGCAGCCTGGGCACCCAGATCGGCTTTGCAGACCTCATGGGGGTCCTCACCAAAGGGGTCCGGGAAGTGGAATG GCCCTGCAGCTGCTCAGGGAGCCTAGAGACTCGGCCCAGTTCAACAAGGCGCTGGCCATCATCCTCCACCTGCTCTACCTGCTGGAGAAAGTGGAGTGCACCC C C AGC C AGGAGC AC C T GAAGC AC C AGAC C AT C T AT C GC C T GC T C AAGT GC GC
chr21:l
407025 T AAAAAT AAAT T GT AAT AAAT AT GCCGGCGGAT GGT AGAGAT GC C GAC C C T AC C GAGGAGC AGAT GGC AGAAAC AGAGAGAAAC GAC GAGGAGC AGT T C GAAT
173 0- GCCAGGAACGGCTCAAGTGCCAGGTGCAGGTGGGGGCCCCCGAGGAGGAGGAGGAGGACGCGGGCCTGGTGGCCAAGGCCGAGGCCGTGGCTGCAGGCTGGAT
140705 GCTCGATTTCCTCCGCTTCTCTCTTTGCCGAGCTTTCCGCGACGGCCGCTCGGAGGACTTCTGCAGGATCCGCAACAGGGCAGAGGCTATTATT
50
CGCCACCACGTGCGGGTAGCGCCGCATCGCCCCAGCCGTGTTCCTTGGTCTCCGTCTCCGCCGCGCCCGCCTGGTGAACTGGAGCACAGGGACCATAGTTCT
chr21:l
GAAATTTATCCTTTTTCTCTCCATGGATTCAGCAGCAGTGTCTAAAAGAAAAAAATTCATCAATCATTTATGTATATTTTAATATAAAGGTAAAACACTGCG
411980
ACCAGTGGAACCGGATAGAAAGTAATTCAGTTTTACAGAACACAACTGTTTTTCAGGCTCTTTTATTAAATATAAAAGAGCCATATATATTTCTGTGGAATTC
174 0- CCCTTTTACTTAAGAATTCATTATCAGCGAATTAGTTTAAGGAGGCTGTTTTGTTAGAGGCTGTGGTTGCATTCAAAAATTGGAATAGGAACAATGACTTGT
141204 AAAATTCAACATTTTATTTTATTTTTGAGATGGAGTCTCGCTCTGTCGCCCAGGCTGTAGTGCAGTGGCGCGATCTCGGCTCACTGCAACCTCAGCCTCCCG 00 GTTTAAGGAATTCTCTGCTTCAGCCTCCTGAATAGCTGGGATTACAGGCGCATGCCACCAAGCCCAGCTAATTTTTTTTGTATTT
chr21:l CCCTGAACAGTCAGAGTTTACTGCCCACTTTTGCTGGAGGAGAAGCTCCTGAACAACTAGAGAGACTGTGGTTCCCAAAGAGCAGCCTGTAGGCCTGAGGACT 430480 GCTCTATGACCGGCGTCAGTCCCTGCCTCCCTCCCTCCGTCCCTCCTTCCCTCCTTCCTTCCCAGGCCTTCTCTGACTACCAGATCCAGCAGATGACGGCCA
175 0- CTTTGTGGATCAGTTTGGCTTCAATGATGAGGAGTTTGCAGACCATGACAACAACATCAAGTGAGTCCACTTGGATGCCCCCTGCACGAGGCACGACTCCCCC
143061 TCCTCGCTGCTGAAGTCCCATGGGGGCAGCTCCCTTAGTCCTTGCCGGGAGATAACAGGTGTTTCCAGTTGCATGAGGGTGCTGAGGCCCCCAGTGAGAACC 00 GGGGAGGAGC AC T GAGGC C T C AGAT GAGC AC C GGGGGAGGAGC C C T GAGGC C C C AGAT GAGC ACC AGGGGAGGAGC AC T GAGGC C C C AGAT GAGC AC C GGGG
AGGAGCGTTGAAGCCCCAGATGAGCACCAGAGGAGGAGAGCTGAGGCCCCAGATGAGCCCCGGGGGAGGAGCTCTGAGGCCCCAGACGAGCACCGGGGGAGG GCGCCGAGGCCCCAGATGAGCACCGGGGGAGGAGCGCCGAGGCCCCAGATGAGCAGTGGGGGAGGAGCCCCGAGGCCCCCAGATGAGCAGTGGGCGGGGCAG GAGCGCCGAGGCCATCCCCCTTGCTCTTGCAGCGCCCCATTTGACAGGATCGCGGAGATCAACTTCAACATCGACACTGACGAGGACAGTGTGAGCGAGCGG GCTGTGCGGGGTCATGCAGGCACCCTGTTCCCAGGCAGCTCAGGCCGCGCCCATGGCTCGGTCTGTGGTGGGCCTGTGCGGTGGGGCTGGGAGAGGCCCCTCT GTGGAGCTAGGAACAGTCGCTTTTCTTGACCCTCCCCATCATGCCCTCCAGCCCATGGCGCCCACATCCTGAACTAAGCCCCTCTGGGAGCCCTGTGGGGAG GCGCCTCCTGTCTCCCCCAGACCCTCTGGAAACTGACCTTGGCGTTTTACTCTGCAGCCCAGCGCGGCTCTGAGGCCTGCTGCAGCGACCGCATCCAGCACTT TGATGAGAACGAGGACATCTCGGAGGACAGCGACACTTGCTGTGCTGCCCAGGTGAAGGCCAGAGCCAGGTGCGGGGCCTGCCCATCCCCCCAAAGCCTCTGC CGAGGAGGTGCAGCCCCCAGAACACCCGTCAGATGCCCAGACGCCCTGCTGTTTGTTATGCCGG
chr21:l
564934
TTTGGGCCACGAGGCAAGTTCAAAGCGGGAGACTTTTGTTTTATAAAATGATGGTGAGCAGCTCCGGTTTTATGTCAAACATCAGGGTTTCGTGCAGGATAT
176 0- AACATTT
156494
50
ATTGCCGTACTTTGCTTCCCTTTGTATGTATTTCTTGTATGCTGCCGAGTCACTGATGGCTAGCTCTGTCTGGCAAGTAATTCAAAAATGCTGTTTATGTAG AAGGAAAGGTAGGGACTTTACCACACTCTGTCATTAAAGGGAGCAATTGAAGAACAAAGGAACTGAGTAAATACCTATATATTGCCTTTTGTGTTGCGAAAC CTGTAGCACAAACACATTTGTGTTCAGCCAAATGTTTTACTTCCTTTTGTAATAACGCATATAGTAGGTTGTCTCCACATATGTACAAGAATCCATATTTTAT TTAAACGTATATAGTCAATTGTTCATATTTATAGGCTGCAAACATTTCTCAATCTCAAAGACTTTTACATATCCACTCCCACACAGCTATTTGTTATTATTTT AAAAGTTCTTAAATTAAAAAAAAAAATAAAATATACTAATATCTCTGTTGGTTGATTTTATTAAGCAACTTAGGATTTCAACACAGTTTAAATCATATTGAT ACTCAGATCCTGGCAGGTCTTACAATTCCTGTGAAATGAGAGCACAGCTAATAAAAATATTAAGCAATTACTTTTATTAAAATCATAGGGTTTTTTTCATTAT CACATAGAAATGATTGATCTATACAGATTGGTCTCACTCATGTGTCTTTTGGGCTGCTTGGGAGCTTCATGTAGAAGTGGAAAGTCCCCTTTGCTCTTCCTTC
C21orf3
177 GACCAAGGTGGGGAAAATGAAGGCATAGAATACAATCTAGGGCTATTAAAGAATTGCTGGCATTACTTCTCTCTATCACGTGTGAGCCTGGCTGCCTGCTTCC
4
TGAGGTAGGGGATCCAGGATGAGACTGTGCCGGAGCCTGTTTCCACAACTGCATTTGGAGATCCGTCTTATTGATTAGCGGGGGAAAGGGGTGGGGATCAGG GTGTGAGGTGAGGGGAGGACCAACTGACGACTGGCTCAATGAAGCACAAGACATTTTCTTCCGGAAAGATGTCAAACAACTGAGAAACAGCCAGAGAGGAAGT AGAAAGGTGGAAAAATGAGGAGACCCTGGAAGAAATGAAGGCATTTCCTATGAGACAGCCTTGGGGCTTTTTTCTTTTCTTTCTTTTTTTTTGCTTCCATCAT CTGACCTGCAAAGGCTAGAGTGACAGCGTCATGCAAATGCTGCAGTCCAGCAGGTCTGGGAGAGGGTGGATGCTAGACTGTGAGTTAATGTTAATGATGAGC CAGTGAAAATACCAGCCGCTGCCACCCCCTGCTCACAGAAGCGCTCTGAGTCAGCATCAGATGCTTTGCCTCGCCTCTCGCTGTGTATCTGTATGCCTGTGT CGCGCGCGTGCTCGCTCGGGCATCCGTGTCTAGCCGAGGGGAGGGGGTGGCGTGTGAGTGCGTGGAGGGTAAAAGCCAGTCAGTCAGTGAGAAGCAAAGGTAC GTTGGAGAGCAACTAAAATCTGACTGATTTCCATCTTTGGAGCATCAGATGTATTCCC
GCAGCCTCCTCCTGAAAAATGTAAGCCATTTCCACTTTGTAAAGCTACGTTTATATTCCACCACGATACGATGGAAAAGAAAACCCAAGGCAATTTAATATAC
178 BTG3
GGGTTGGGAAGAAAGTTTTGCTGATGGAACTACATTAGCCTCCACTCCAGCAAAGCAAACAAGGAACCACACTAAAGAAATGTACTGAATCTTTTAA
TGCCTGAGCGCAGAGCGGCTGCTGCTGCTGTGATCCAGGACCAGGGCGCACCGGCTCAGCCTCTCACTTGTCAGAGGCCGGGGAAGAGAAGCAAAGCGCAAC GTGTGGTCCAAGCCGGGGCTTCTGCTTCGCCTCTAGGACATACACGGGACCCCCTAACTTCAGTCCCCCAAACGCGCACCCTCGAAGTCTTGAACTCCAGCCC CGCACATCCACGCGCGGCACAGGCGCGGCAGGCGGCAGGTCCCGGCCGAAGGCGATGCGCGCAGGGGGTCGGGCAGCTGGGCTCGGGCGGCGGGAGTAGGGCC
179 CHODL
CGGCAGGGAGGCAGGGAGGCTGCAGAGTCAGAGTCGCGGGCTGCGCCCTGGGCAGAGGCCGCCCTCGCTCCACGCAACACCTGCTGCTGCCACCGCGCCGCG TGAGCCGCGTGGTCTCGCTGCTGCTGGGCGCCGCGCTGCTCTGCGGCCACGGAGCCTTCTGCCGCCGCGTGGTCAGCGGTGAGTCAGGGGCCGTCTCCCCGA GAACGAGCGGGGAGAGGGGACCACGGGGCGCGGCGGGCAGCCTGTTCTCGGGCGGAGGCTCTCCGGGGCGTTGGAAACCTGCATGGTGTAAGGACCCGGGAG
AGGCGGGGAGAAATTGATTGTGCTGTTCTCCTCCCTCTCTTCTCTAACACACACGCAGAAAAGTTTAAATTTTTGTGAAGCGCTTGCTTACGTAGCTGCGGA CGAGCCTCTGCTTCAT ACGAGCGGCATAGCCTTTTTCAGGAGTGATTTCCACTTTCTTTGTGAGAGAGTTGACCACAC
TTCAATTTACACTCGCACACGCGGGTACGTGGGTGTTCGGGGTAGGGCACTGATCTGGGGAAGGTCTCCCCCCCGCGACCCAACTCATCTTTGCACATTTGC GTCCTCCCTCGGTGCACTCCTGGCGGGGATCTGGCCAGTGCAGCGCACTGGGACCGAGGGCAGAGCCCGCGGAGTGAGGCCAGGAGAGACTTCAGGCCTCTA GGACACAGCTGAGGCTAAGGCTGAGTTGAACGCAGCCCCTCCCGCGGCTCGTCCCCTCTCCAGTGTCTCTCCCGTAAGGTGCCGCTCCCAACAGCAATGGGTC
180 NCAM2
GAGATGTAGAGGAAACACTCTGTACGTTATTTTTCCGCCCACCCTTTAGCGCCTGAGGAGACAGACAGTGTAGACTTTAGGGTACAATTGCTTCCCCTCTGTC GCGGCGGGGTGGGGAGCGTGGGAAGGGGACAGCCGCGCAAGGGGCCAGCCTGCTCCAGGTTTGAGCGAGAGAGGGAGAAGGAGGTCCACGGAGAGACAAGAAT CTCCCTCCTCCCACGCCCAAAAGGAATAAGCTGCGGGGCACACCGCCCGCCTCCAGATCCCCCATTCACGTTGAGCCGGGGCGCG
TCATTATCCGATTGATTTTCCTGGTATCACATCACTTAAGTTTAAGTAGCTCTTATGTTACTTAGTAATGACTGCAAAACACGAGTTGTGATGCGGGCAATTT
chr21:2
GGATACAACAAAAAGAAGCCATTAAGTTTGTTCGTTAGTTAACAGGTGAAAGCTCTCAAGTTATTAAGGATAAAAATGCTAGTATATATATATATGGTTTGG
357400
ACTATACTGCGGATTTTGGATCATATCCGCCATGGATAAGGGAGGAATACTATAATCAGGTTTGTTTTAAATTCCATGTCTAATGACTTCGTTATCTAGATC
181 0- CCTGTAGAGCTGTTTTTATTGTAGGAGTTTTCCTTGGTTTTAATCTTTTGATTTGTTTTTCATGTTAATACTGAAATTTTTAAAAATTGCATATTGTACTTCC
235746
TATATGAAAATTTTACTATGTATTTTTATTTTTATTTTCCTTTTCCTTTAGGAAGAATTAGTTTGTTCCCTGACAGAGTTAGAGTAAGGGCAAATTACTTGTC
00 TCTATAAACAACTCAGATGTTTTGAGCCGGTGTTGTAGGGGTTATCTTTTTCTGGTTTTGCATTTTATTATAGGACATAGTGCTT
chr21:2
436692
AGAAAGAAGAAATCCGGTAAAAGGATGTGTTATTGAGTTTGCAGTTGGTGTTTGATCTTGCACAGATTTTCTCAGGGGCCTTAAGACCGGTGCCTTGGAACT
182 0- CCATCTGGGCATAGACAGAAGGGAGCATTTATACGCC
243670
60
CGAAGATGGCGGAGGTGCAGGTCCTGGTGCTCGATGGTCGAGGCCATCTCCTGGTCCGCCTGGCGGCCATCGTGGCTAAACAGGTACTGCTGGGCCGGAAAGT GGTGGTCGTACGCTGCGAAGGCATCAACATTTCTGGCAATTTCTACAGAAACAAGTTGAAGTACCTGGGTTTCCTCCGCAAGCGGATGAACACCCACCTTTCC
chr21:2 CGAGGTCCCTACCACTTCCGGGCCCCCCAGCCGCATCTTCTGGCGGACCGTGCGAGGTATGCCGCCCCACAAGACCAAGCGAGGCCAGGCTTCTCTGGACCGC 565600 CTCAAGGTGTTTGACCGCATCCCACCGCCCTACGACAAGAAAAAGCGGATGGTGTTCCTGCTCCCTCAAGGTTGTGCGTCTGAAGCCTACAAGAAAGTTTGCC
183 0- TATCTGGGGCGCCTGGCTCACGAGGTTGGCTGGAAGTACCAGGCAGTGACAGCCACCCTGGAGGAGAAGAGGAAAGAGAAAGCCAAGATCCACTACCGGAAG
256569 AGAAACAGCTCATGAGGCTACGGAAACAGGCCGAGAAGAACATGGAGAAGAAAATTGACAAATACACAGAGGTCCTCAAGACCCACAGACTCCTGGTCTGAGC 00 CCAATAAAGACTGTTAATTCCTCATGCGTGGCCTGCCCTTCCTCCATCGTCGCCCTGGAATGTACGGGACCCAGGGGCAGCAGCAGTCCAGGCGCCACAGGC
GCCTCGGACACAGGAAGCTGGGAGCAAGGAAAGGGTCTTAGTCACTGCCTCCCGAAGTTGCTTGAAAGCACTCGGAGAACTGTGCAGGTGTCATTTATCTAT ACCAATAGGAAGAGCAACCAGTTACTATTAGTGAAAGGGAGCCAGAAGACTGATTGGAGGGCCCTATCTTGTGAGC
GCCTGAAGACCATTTCTTCCTCTCTTAGGGACCTGCTGGTCTCCAGCTGATTCGGTCCAGGAGGAAAAACCTCCCACTTGCTCCTCTCGGGCTCCCTGCAAG AGAGAGTAGAGACACTCCTGCCACCCAGTTGCAAGAAGTCGCCACTTCCCCCTCCAGCCGACTGAAAGTTCGGGCGACGTCTGGGCCGTCATTTGAAGGCGTT TCCTTTTCTTTAAGAACAAAGGTTGGAGCCCAAGCCTTGCGGCGCGGTGCAGGAAAGTACACGGCGTGTGTTGAGAGAAAAAAAATACACACACGCAATGACC
MI 155 CACGAGAAAGGGAAAGGGGAAAACACCAACTACCCGGGCGCTGGGCTTTTTCGACTTTTCCTTTAAAAAGAAAAAAGTTTTTCAAGCTGTAGGTTCCAAGAAC
184
HG AGGCAGGAGGGGGGAGAAGGGGGGGGGGGTTGCAGAAAAGGCGCCTGGTCGGTTATGAGTCACAAGTGAGTTATAAAAGGGTCGCACGTTCGCAGGCGCGGGC TTCCTGTGCGCGGCCGAGCCCGGGCCCAGCGCCGCCTGCAGCCTCGGGAAGGGAGCGGATAGCGGAGCCCCGAGCCGCCCGCAGAGCAAGCGCGGGGAACCA GGAGACGCTCCTGGCACTGCAGGTACGCCGACTTCAGTCTCGCGCTCCCGCCCGCCTTTCCTCTCTTGAACGTGGCAGGGACGCCGGGGGACTTCGGTGCGA GGTCACCGCCGGGTTAACTGGCGAGGCAAGGCGGGGGCAGCGCGCACGTGGCCGTGGAGCCCGGCCTGGTCCCGCGCGCGCCTGCGGGTGCCCCCTGGGGACT
Figure imgf000130_0001
CAGCGACGTGATCAACACTGTGCTCTCCAACCGCGCCTGCCACATCCTGGCCATCTACTTCCTCTTAAACAAGAAACTGGAGCGCTATTTGTCAGGGGTAAGT GCGACCCTAGAGGCGATCGTCTCTGCTGTCTGTGGAAAAAAGAGCTCCTACACCCAAAGTGCTTCTCAGTTGCTGACACTTGATCCAAGCTGCTAATTTAATC TAATGTGAGGCTGAGTTTTCTGAATGTGGGATAAAGTCGTAGCTAAACCTGCTTCTCAGGGAGTGCCTTTTATCTGCAATGTTTTTCAAAT
AAGTAACGGGATCAAATTAATTATTATTTTGGTGGCCGCCTCTCTTCTCCACCCCAAGCCAGGCAAGACTCACCCTCGGCCCTGCCCGCCCCAGCATTTCAA TGGAATACCTAGGTGGCCCAGGGGGACCCCTGACCCCTATATCCTGTTTCTTTCTGCCTGCTTTGCTACTTTTCTCCTTGATAAAAGGAGAGAGTGAGAGAT ATTAACAAAAAACATGGCCCCAGGACAATGAAACAACTGGCCTTGGCCGGCCAGAAATGTATCCTGGTTTTCTAGGTGAACTTTCTCCCATCAATCTTTCCTT
chr21:3 AAC C T C T C T GT AGT GGAAGC AA AGGAAC AC CCCTCCCCTCCCCT GAGCAAA GCTTTCTTT GAC GGAAAC AAAAC AGGGGC TCGGC GAAGGC GAGGT 327220 GAAATCTGGGTGGCATGGGCGCCGCACAATGGGGCCGCTGTTCCCCGGCCCGGGCTTGTGTTTTACAACAGGGGAGGGGCGGGCGTGAATGGTCTGATGATT
194 0- GAAC AAT CCCCCCGATTCAGGCC T AC AAAC GCATCTTCTGTTCCACACC GAGGGGAC AGAAAGGAGAAAAGT GAC AAAGAAC GC GGGGC GGGGGGAAT T AAA
332733 CAAAATGCGCTCGACTAAAAAATCTCTCATATCCTGCATATTCCAGAAAGCGGCTCTATGGAGAGAGCCTTCAGGAGGCCTCAGCCATATCTGAATGGCTTTC 00 TCTGGCCTCTGATTTATTGAT GAAGC T GAAGC GAC T T GC T GGAGAAAGGC C T GGAGC CTTCTTTGTCTCC GAGAT GAAGT AC AAT AGGC C AC AGGGC GGAGAT
CTCTTGTGATGCTCTCGGGTCCTGCCTTTCTCTTGCCCTCTCCTCCCTGCAAATACCAGCAGCGGTGACAAACGATTGGTGGTGTGCCTGGGAGAGCCGGTG CAAGACTGGGCCACTTGAGGTCTCCTTAAGAGGGTATTATGGCCAGGGCGACGTTTGTGCTGTGAAGATGGCACACTCCATTTTGTCAATGGCTCTCATCGGC CCAGATAATCGCCCCCTGCCTGCCTGTCAGGGGCGCAGCCGGCCGATTCATGGCGCCCTCGGAGAAAGTA
GTCTTTCCCGCCCCCTTGTCTAAACTCAAAACCGAGTCCGGGCGCGCCTTGCAGGGCGCCCGAGCTCTGCAGCGGCGTTGCGGGCTGAACCCATCCGGCACA ACTGCGGGCCACTGGCCCCTCACACCTGGGAGTTTGCGGCGCTGGCCTGCAGCCCGGGGCCCACGTGGCGGAAGCTTTCCCGGGCGCGCGCTGCGCAGCCCC CGGGGCCGGGGAGACACCGCTCGGGAGTCCTCCGCTCGGCTGCAGAATCTTTATCAGCTGCACTTTACCGCAGCCCTGGCTAGGACGCTAGGCGGTGGAGCGC CCTATCCAGGTGCGCCGCCGCACCATGGATCACCGCGCCCGGTCCCGCAGTCCCGCCATGGCCTGGGGAGGCCCGAAGCCCGGGGACAGTGGCCGGCCCATCT CCGGCTCCGCGGACCCCCGGCTCAGGCGGGAGGGCAGGCGGGTCCCTGCAGGCCCCCAGGGAGCCCGGGAGCCTCTCTCTGGCGTCATTCAGTCCCGGGGCA CCTGAAGCGCGGTAGATATTGGAGAGGGGGCGTCTGTTGGGGGGACCTGGCGTCATTACTGATGGCTAGCAGGGAGGAGGGAACGGGTTGTCACCTCGGCCTC ATAAGGCCGTGAGTGAGTAGTCCAGGGCCTCTTCAGGCATTTTTGAAACTGGATTAACTAGGGGGGAAATTGTAGCACTGAAGCCACCGTGACTGTCTTTTGC GCTGTGTGGAAACTCCGGTAAAACTCTTTGGGCAACAGTCTTATCACCAGCTCTTCAACGTGTGCAGCCCTTCTGGTCCTGTCCCTGTTCTGGGCCCCAGGA T GC AAAGC AGGT C C AGGC AC T GT GAAGAC C C T GGC GGT GGAGGAAGAGGC TTCCCGGC T GT GGAGGAAGC CAGAC C C T T AC AAC AC AAGAC GAGAAC CAGAC C T GC GT GGGGGAGC T C T GGAT GC T AC AGGGGC T CAAGGAGGGGT GGAGGGGC C T T C C C AGGC C AAC C C C T GAAC GGC T T GGACAAGAT GC T CAGAT GGAC GGG GGAACGGCGTGTGGGATGGGGGAGCTGGAGGCGGGTGGGTGGGGGGGGGAGGATGGGGAAAGCGCTGGCCCACCCAGTGTGGGAGGGGTAGAGGAAAAGCCC
195 OLIG2
CAGGGGCCAGGTTGGGACCCCGTAGGCCGGGTTAGAGGGCTTGGACTTGATCCTGACAGGCGACAGGGAGACATATTGCTACTTATTATGTGCACAGTGGCC GATCTCTAAAGAAAACACCATCCCCCACCCCCACCCCCCATATAGTAAACCAGGTGGTCCGCCCAGTGCTCCCAGGGAGGTGATGGGAAATCCCACTCCATAC CCTGCGGTGAGGGGTTCCATGCCCTCCACGTGTGCAACTACTCCGGGCCCAGGGAAACACTGGGCCCCATCCGGTAACCCCCGGCCCAGTCGGGTTTCCCAGT T C AC AT TAT AAC C AAAC GGTCTTGCCAGC T AGAC AGAC AGAC AC C C C T GAC CTGTTTACCCT GAT CCTCTGCTCTCAGGATTAAT C AC AAC T T GT C GAAGGG GTGGCTTCCAGTGGGGTGGACCGCTCTGTCAATGCCAGCGTGTGTCTAGCATCTCCTGGGGTGGGGGTGTGGGGAAGGGAGGTGTAGGATGAAGCCCTAGAA CCTCAGGCAATTGTGATCCGGTGGGCTGGATACTGAAGCCCACCCCTGCCTTGACCTCAATTTTCAGTATCTTCATCTGTAAAATGGGAACAACCTGCCTTCC TCCTAGCCCTAAAGGGGCTGCTGTCAAGATTGGCTGAGATAGCTGTTTGCAAGCTGAGCTCAATGAAAGTTCATTGTGTCCCCCTCAGTCCTATCCCAATATC GTCTCACTGCAAAGGTGGGGGGCAGCTTAACTTCAAGGGCACTTCAAGGATAGCCAGGTGGCTGTCAGCCCAGCTTTCCAGGATGGGAGCAGGATCTTGACA AAGGGTTGACTGGGAGGGGCAGTTGCTGGTTTGGGCTTCGTTAGGTTGCATTTTTGTTTGTTGTCCTTTCATTTCCCTGGGGCAGCACCCCTTCCTGCAAGCT CCAGGCCTTCCTCTGGAATGCTCCTAGAGCCCAACCTCTGCTGGTGCCTGAGCTTAAGCCAGGCCAGCTAAGGGGATCCTGGATTCACACGGCCTCACAGTC CTCAGATTGTTAGCAGAAGACAAAAATTACAAGGGGAGGGCGTCATGTGATTCTTACACACCCTCCAAATCCAGCAGACACCTTGGAAGCCACAGGTAGCTTC
AAGAAACCCATTT ACGGA GAGAACC GAGA GGAGAAAGGACAAC GGAGA C C GAG CTC GAGCCCACAC CCC ACCTCCCTGCACCTCCAGGCAC TCTGCTGGCAGGATCTTGGGCAAATGCCCACAGCTCTCTGAGAGTCAGTTTTCCTGTCTGTAAAATGGGAGTCATACCTTCCTCCTATGGCCGGTGAGAGACT AAATTAAACTATGTCTGTCAAGACACCTGAAACTCCTGGCACAATTTAGGTTGCCTTCAAGTGGTCACAGTTGTCATTAGGTGGAAGTCAACACCCCAATCAT TGTAAAGGTGCCCATATACCCCAAGATCCAGATTACAGCTCTCACAGTTTATTATATACAGCGAAAAAACACATAACACACCTTTGCCCACATTTACATGTAT TTTACGGACCATGTTTCACATCAGTCCGCATGCACATCTGCACGTGTGTGCATTCGGCAGTATTTACCAAGCACCTGCCAAGTGCCAGGGCCTGTCCTCCGC CCCGGCGTGAACTGTCCTGGACCAGTCCCGGGAGCCGCGGTTCTGACCAGCCGTGCTGACCCTGGACGACTCCATGAGCTGTTTTGTGAGAAAGACACGCCAT TTGTTTGCAGAGTTCTGACTTCTGAGGGGTCATGTAGCACATGTTTGGTAGCCAAACGCTGTCATTCACGACCAGGAGCGATGGCTGCAATGCCTTTTTCTTT GCTTTGCTTTCCGGTGCCGGGAGCCTTGCCTCCCGCCGCCACCCCTGGTCAGCTCTGCGCAAGAACGTCGTTCTGTTTGGCAGCCAGGCCGAGACGCAGCCT AATGTGAGCAGGAACTCGGAGAAGGGAAGGGAGAGAATCAGAAAGAAGGCCCGGGAGGGACCCGGGAAGCAGTGGGAGGTCTGCGCCCTGGAGCCCCGCGAG GCCCGCCGGTTTGGCACGGGCTCCTCCCGGGCCGCCCGGCGGTCCAACAAAGGCCGGCCCCGACACGCACCCGGTCTTTTGTGGGAGAGAAACACAAAGAAG GGGAAAAACACGGAGGAGGCCAACAGCACCAGGACGCGGGGGCCAACCAGGAACTCCCGGAGCCGGGGCCCATTAGCCTCTGCAAATGAGCACTCCATTCCCC AGGAAGGGGCCCCAGCTGCGCGCGCTGGTGGGAACCGCAGTGCCTGGGACCCGCCCAGGTCGCCCACCCCGGGCGCCGGGCGCAGGACCCGGACAAGTCCTG GGACGCCTCCAGGACGCACCAGGGCAAGCTTGGGCACCGGGATCTAATTTCTAGTTATTCCTGGGACGGGGTGGGGAGGCATAGGAGACACACCGAGAGGTAC TCAGCATCCGATTGGCACCAGGGCCAAGGGAGCCCAGGGGCGACACAGACCTCCCCGACCTCCCAAGCTACTCCGGCGACGGGAGGATGTTGAGGGAAGCCT CCAGGTGAAGAAGGGGCCAGCAGCAGCACAGAGCTTCCGACTTTGCCTTCCAGGCTCTAGACTCGCGCCATGCCAAGACGGGCCCCTCGACTTTCACCCCTG CTCCCAACTCCAGCCACTGGACCGAGCGCGCAAAGAACCTGAGACCGCTTGCTCTCACCGCCGCAAGTCGGTCGCAGGACAGACACCAGTGGGCAGCAACAA AAAAGAAACCGGGTTCCGGGACACGTGCCGGCGGCTGGACTAACCTCAGCGGCTGCAACCAAGGAGCGCGCACGTTGCGCCTGCTGGTGTTTATTAGCTACAC TGGCAGGCGCACAACTCCGCGCCCCGACTGGTGGCCCCACAGCGCGCACCACACATGGCCTCGCTGCTGTTGGCGGGGTAGGCCCGAAGGAGGCATCTACAA TGCCCGAGCCCTTTCTGATCCCCACCCCCCCGCTCCCTGCGTCGTCCGAGTGACAGATTCTACTAATTGAACGGTTATGGGTCATCCTTGTAACCGTTGGAC ACATAACACCACGCTTCAGTTCTTCATGTTTTAAATACATATTTAACGGATGGCTGCAGAGCCAGCTGGGAAACACGCGGATTGAAAAATAATGCTCCAGAA GCACGAGACTGGGGCGAAGGCGAGAGCGGGCTGGGCTTCTAGCGGAGACCGCAGAGGGAGACATATCTCAGAACTAGGGGCAATAACGTGGGTTTCTCTTTGT ATTTGTTTATTTTGTAACTTTGCTACTTGAAGACCAATTATTTACTATGCTAATTTGTTTGCTTGTTTTTAAAACCGTACTTGCACAGTAAAAGTTCCCCAAC AACGGAAGTAACCCGACGTTCCTCACACTCCCTAGGAGACTGTGTGCGTGTGTGCCCGCGCGTGCGCTCACAGTGTCAAGTGCTAGCATCCGAGATCTGCAG AACAAATGTCTGAATTCGAAATGTATGGGTGTGAGAAATTCAGCTCGGGGAAGAGATTAGGGACTGGGGGAGACAGGTGGCTGCCTGTACTATAAGGAACCGC CAACGCCAGCATCTGTAGTCCAAGCAGGGCTGCTCTGTAAAGGCTTAGCAATTTTTTCTGTAGGCTTGCTGCACACGGTCTCTGGCTTTTCCCATCTGTAAA TGGGTGAATGCATCCGTACCTCAGCTACCTCCGTGAGGTGCTTCTCCAGTTCGGGCTTAATTCCTCATCGTCAAGAGTTTTCAGGTTTCAGAGCCAGCCTGC ATCGGTAAAACATGTCCCAACGCGGTCGCGAGTGGTTCCATCTCGCTGTCTGGCCCACAGCGTGGAGAAGCCTTGCCCAGGCCTGAAACTTCTCTTTGCAGTT CCAGAAAGCAGGCGACTGGGACGGAAGGCTCTTTGCTAACCTTTTACAGCGGAGCCCTGCTTGGACTACAGATGCCAGCGTTGCCCCTGCCCCAAGGCGTGT GTGATCACAAAGACGACACTGAAAATACTTACTATCATCCGGCTCCCCTGCTAATAAATGGAGGGGTGTTTAACTACAGGCACGACCCTGCCCTTGTGCTAGC GCGGTTACCGTGCGGAAATAACTCGTCCCTGTACCCACACCATCCTCAACCTAAAGGAGAGTTGTGAATTCTTTCAAAACACTCTTCTGGAGTCCGTCCCCTC CCTCCTTGCCCGCCCTCTACCCCTCAAGTCCCTGCCCCCAGCTGGGGGCGCTACCGGCTGCCGTCGGAGCTGCAGCCACGGCCATCTCCTAGACGCGCGAGT GAGCACCAAGATAGTGGGGACTTTGTGCCTGGGCATCGTTTACATTTGGGGCGCCAAATGCCCACGTGTTGATGAAACCAGTGAGATGGGAACAGGCGGCGG AAACCAGACAGAGGAAGAGCTAGGGAGGAGACCCCAGCCCCGGATCCTGGGTCGCCAGGGTTTTCCGCGCGCATCCCAAAAGGTGCGGCTGCGTGGGGCATC GGTTAGTTTGTTAGACTCTGCAGAGTCTCCAAACCATCCCATCCCCCAACCTGACTCTGTGGTGGCCGTATTTTTTACAGAAATTTGACCACGTTCCCTTTCT CCCTTGGTCCCAAGCGCGCTCAGCCCTCCCTCCATCCCCCTTGAGCCGCCCTTCTCCTCCCCCTCGCCTCCTCGGGTCCCTCCTCCAGTCCCTCCCCAAGAAT CTCCCGGCCACGGGCGCCCATTGGTTGTGCGCAGGGAGGAGGCGTGTGCCCGGCCTGGCGAGTTTCATTGAGCGGAATTAGCCCGGATGACATCAGCTTCCC
GCCCCCCGGCGGGCCCAGCTCATTGGCGAGGCAGCCCCTCCAGGACACGCACATTGTTCCCCGCCCCCGCCCCCGCCACCGCTGCCGCCGTCGCCGCTGCCAC CGGGCTATAAAAACCGGCCGAGCCCCTAAAGGTGCGGATGCTTATTATAGATCGACGCGACACCAGCGCCCGGTGCCAGGTTCTCCCCTGAGGCTTTTCGGA CGAGCTCCTCAAATCGCATCCAGAGTAAGTGTCCCCGCCCCACAGCAGCCGCAGCCTAGATCCCAGGGACAGACTCTCCTCAACTCGGCTGTGACCCAGAAT CTCCGATACAGGGGGTCTGGATCCCTACTCTGCGGGCCATTTCTCCAGAGCGACTTTGCTCTTCTGTCCTCCCCACACTCACCGCTGCATCTCCCTCACCAA AGCGAGAAGTCGGAGCGACAACAGCTCTTTCTGCCCAAGCCCCAGTCAGCTGGTGAGCTCCCCGTGGTCTCCAGATGCAGCACATGGACTCTGGGCCCCGCGC CGGCTCTGGGTGCATGTGCGTGTGCGTGTGTTTGCTGCGTGGTGTCGATGGAGATAAGGTGGATCCGTTTGAGGAACCAAATCATTAGTTCTCTATCTAGATC TCCATTCTCCCCAAAGAAAGGCCCTCACTTCCCACTCGTTTATTCCAGCCCGGGGGCTCAGTTTTCCCACACCTAACTGAAAGCCCGAAGCCTCTAGAATGCC ACCCGCACCCCGAGGGTCACCAACGCTCCCTGAAATAACCTGTTGCATGAGAGCAGAGGGGAGATAGAGAGAGCTTAATTATAGGTACCCGCGTGCAGCTAA AGGAGGGCCAGAGATAGTAGCGAGGGGGACGAGGAGCCACGGGCCACCTGTGCCGGGACCCCGCGCTGTGGTACTGCGGTGCAGGCGGGAGCAGCTTTTCTGT CTCTCACTGACTCACTCTCTCTCTCTCTCCCTCTCTCTCTCTCTCATTCTCTCTCTTTTCTCCTCCTCTCCTGGAAGTTTTCGGGTCCGAGGGAAGGAGGACC CTGCGAAAGCTGCGACGACTATCTTCCCCTGGGGCCATGGACTCGGACGCCAGCCTGGTGTCCAGCCGCCCGTCGTCGCCAGAGCCCGATGACCTTTTTCTGC CGGCCCGGAGTAAGGGCAGCAGCGGCAGCGCCTTCACTGGGGGCACCGTGTCCTCGTCCACCCCGAGTGACTGCCCGCCGGAGCTGAGCGCCGAGCTGCGCG CGCTATGGGCTCTGCGGGCGCGCATCCTGGGGACAAGCTAGGAGGCAGTGGCTTCAAGTCATCCTCGTCCAGCACCTCGTCGTCTACGTCGTCGGCGGCTGC TCGTCCACCAAGAAGGACAAGAAGCAAATGACAGAGCCGGAGCTGCAGCAGCTGCGTCTCAAGATCAACAGCCGCGAGCGCAAGCGCATGCACGACCTCAAC TCGCCATGGATGGCCTCCGCGAGGTCATGCCGTACGCACACGGCCCTTCGGTGCGCAAGCTTTCCAAGATCGCCACGCTGCTGCTGGCGCGCAACTACATCCT CATGCTCACCAACTCGCTGGAGGAGATGAAGCGACTGGTGAGCGAGATCTACGGGGGCCACCACGCTGGCTTCCACCCGTCGGCCTGCGGCGGCCTGGCGCAC TCCGCGCCCCTGCCCGCCGCCACCGCGCACCCGGCAGCAGCAGCGCACGCCGCACATCACCCCGCGGTGCACCACCCCATCCTGCCGCCCGCCGCCGCAGCG CTGCTGCCGCCGCTGCAGCCGCGGCTGTGTCCAGCGCCTCTCTGCCCGGATCCGGGCTGCCGTCGGTCGGCTCCATCCGTCCACCGCACGGCCTACTCAAGTC TCCGTCTGCTGCCGCGGCCGCCCCGCTGGGGGGCGGGGGCGGCGGCAGTGGGGCGAGCGGGGGCTTCCAGCACTGGGGCGGCATGCCCTGCCCCTGCAGCAT TGCCAGGTGCCGCCGCCGCACCACCACGTGTCGGCTATGGGCGCCGGCAGCCTGCCGCGCCTCACCTCCGACGCCAAGTGAGCCGACTGGCGCCGGCGCGTTC TGGCGACAGGGGAGCCAGGGGCCGCGGGGAAGCGAGGACTGGCCTGCGCTGGGCTCGGGAGCTCTGTCGCGAGGAGGGGCGCAGGACCATGGACTGGGGGTG GGCATGGTGGGGATTCCAGCATCTGCGAACCCAAGCAATGGGGGCGCCCACAGAGCAGTGGGGAGTGAGGGGATGTTCTCTCCGGGACCTGATCGAGCGCTGT CTGGCTTTAACCTGAGCTGGTCCAGTAGACATCGTTTTATGAAAAGGTACCGCTGTGTGCATTCCTCACTAGAACTCATCCGACCCCCGACCCCCACCTCCG GAAAAGATTCTAAAAACTTCTTTCCCTGAGAGCGTGGCCTGACTTGCAGACTCGGCTTGGGCAGCACTTCGGGGGGGGAGGGGGTGTTATGGGAGGGGGACAC ATTGGGGCCTTGCTCCTCTTCCTCCTTTCTTGGCGGGTGGGAGACTCCGGGTAGCCGCACTGCAGAAGCAACAGCCCGACCGCGCCCTCCAGGGTCGTCCCT GCCCAAGGCCAGGGGCCACAAGTTAGTTGGAAGCCGGCGTTCGGTATCAGAAGCGCTGATGGTCATATCCAATCTCAATATCTGGGTCAATCCACACCCTCTT AGAACTGTGGCCGTTCCTCCCTGTCTCTCGTTGATTTGGGAGAATATGGTTTTCTAATAAATCTGTGGATGTTCCTTCTTCAACAGTATGAGCAAGTTTATA ACATTCAGAGTAGAACCACTTGTGGATTGGAATAACCCAAAACTGCCGATTTCAGGGGCGGGTGCATTGTAGTTATTATTTTAAAATAGAAACTACCCCACC ACTCATCTTTCCTTCTCTAAGCACAAAGTGATTTGGTTATTTTGGTACCTGAGAACGTAACAGAATTAAAAGGCAGTTGCTGTGGAAACAGTTTGGGTTATTT GGGGGTTCTGTTGGCTTTTTAAAATTTTCTTTTTTGGATGTGTAAATTTATCAATGATGAGGTAAGTGCGCAATGCTAAGCTGTTTGCTCACGTGACTGCCA CCCCATCGGAGTCTAAGCCGGCTTTCCTCTATTTTGGTTTATTTTTGCCACGTTTAACACAAATGGTAAACTCCTCCACGTGCTTCCTGCGTTCCGTGCAAGC CGCCTCGGCGCTGCCTGCGTTGCAAACTGGGCTTTGTAGCGTCTGCCGTGTAACACCCTTCCTCTGATCGCACCGCCCCTCGCAGAGAGTGTATCATCTGTTT TATTTTTGTAAAAACAAAGTGCTAAATAATATTTATTACTTGTTTGGTTGCAAAAACGGAATAAATGACTGAGTGTTGAGATTTTAAATAAAATTTAAAGTA AGTCGGGGGATTTCCATCCGTGTGCCACCCCGAAAAGGGGTTCAGGACGCGATACCTTGGGACCGGATTTGGGGATCGTTCCCCCAGTTTGGCACTAGAGAC CACATGCATTATCTTTCAAACATGTTCCGGGCAAATCCTCCGGGTCTTTTTCACAACTTGCTTGTCCTTATTTTTATTTTCTGACGCCTAACCCGGAACTGCC TTTCTCTTCAGTTGAGTATTGAGCTCCTTTATAAGCAGACATTTCCTTCCCGGAGCATCGGACTTTGGGACTTGCAGGGTGAGGGCTGCGCCTTTGGCTGGG
GTCTGGGCTCTCAGGAGTCCTCTACTGCTCGATTTTTAGATTTTTATTTCCTTTCTGCTCAGAGGCGGTCTCCCGTCACCACCTTCCCCCTGCGGGTTTCCTT GGCTTCAGCTGCGGACCTGGATTCTGCGGAGCCGTAGCGTTCCCAGCAAAGCGCTTGGGGAGTGCTTGGTGCAGAATCTACTAACCCTTCCATTCCTTTTCA CCATCTCCACTACCCTCCCCCAGCGGCCACCCCCGCCTTGAGCTGCAAAGGATCAGGTGCTCCGCACCTCTGGAGGAGCACTGGCAGCGCTTTGGCCTCTGT CTCTTTCCT
CCGGCACGGCCCGCATCCGCCAGGATTGAAGCAGCTGGCTTGGACGCGCGCAGTTTTCCTTTGGCGACATTGCAGCGTCGGTGCGGCCACAATCCGTCCACT GTTGTGGGAACGGTTGGAGGTCCCCCAAGAAGGAGACACGCAGAGCTCTCCAGAACCGCCTACATGCGCATGGGGCCCAAACAGCCTCCCAAGGAGCACCCA
196 OLIG2 GTCCATGCACCCGAGCCCAAAATCACAGACCCGCTACGGGCTTTTGCACATCAGCTCCAAACACCTGAGTCCACGTGCACAGGCTCTCGCACAGGGGACTCAC
GCACCTGAGTTCGCGCTCACAGATCCACGCACACCGGTGCTTGCACACGCAAGGGCCTAGAACTGCAAAGCAGCGGCCTCTCTGGACCGCCTCCCTCCGGCCC TCCTGAGCCCTACTGAGCCCTGCTGAGTCCTGGAGGCCCTGTGACCCGGTGTCCTTGGACCGCAAGCATCCTGGTTTACCATCCCTAC
GGACGCGGCCCGCTCTAGAGGCAAGTTCTGGGCAAGGGAAACCTTTTCGCCTGGTCTCCAATGCATTTCCCCGAGATCCCACCCAGGGCTCCTGGGGCCACCC CCACGTGCATCCCCCGGAACCCCCGAGATGCGGGAGGGAGCACGAGGGTGTGGCGGCTCCAAAAGTAGGCTTTTGACTCCAGGGGAAATAGCAGACTCGGGT ATTTGCCCCTCGGAAAGGTCCAGGGAGGCTCCTCTGGGTCTCGGGCCGCTTGCCTAAAACCCTAAACCCCGCGACGGGGGCTGCGAGTCGGACTCGGGCTGC GTCTCCCAGGAGGGAGTCAAGTTCCTTTATCGAGTAAGGAAAGTTGGTCCCAGCCTTGCATGCACCGAGTTTAGCCGTCAGAGGCAGCGTCGTGGGAGCTGCT CAGCTAGGAGTTTCAACCGATAAACCCCGAGTTTGAAGCCCGACAAAAAGCTGATAGCAATCACAGCTTTTGCTCCTTGACTCGATGGGATCGCGGGACATTT
197 UNX1
GGGTTTCCCCGGAGCGGCGCAGGCTGTTAACTGCGCAGCGCGGTGCCCTCTTGAAAAGAAGAAACAGACCAACCTCTGCCCTTCCTTACTGAGGATCTAAAAT GAATGGAAAGAGGCAGGGGCTCCGGGGAAAGGGAACCCCTTAGTCGGCCGGGCATTTTACGGAGCCTGCACTTTCAAGGACAGCCACAGCGTGTACGAAGTG GGAATTCCTTTCCACCAAGAGCGCTCATTTTAGCGACAATACAGAATTCCCCTTCCTTTGCCTAAGGGAGAAAGGAAAGGAAACATTACCAGGTTCATTCCC GTGTTTCCCTGGAGTAATGCTAGAATTTACTTTTGTCATAATGCAAAATTAAAAAAAAAAAAAATACAACGAAGCGATACGTTGGGCGGATGCTACGTGACA ATTTTTCCAAATTTTGTTGCGGGGAGAGGGAGGGAGGAGAATTGAAAACGGCTCACAACAGGAATGAAATGTA
198 RUNX1 TTTTTAATGCTCAGAGAAGTTCGTATTACTGATTCGGGAACACTGAGTTTTTCAGCTCCTGTAAAACTATTTTCAGGTTTATTTTCAAGTACATTCTTTA
CACCCTAGAGGCAAGGACGGGGTCTGTGTCAAGAGGCTTCCCAGAGAAGTGAAAACTCTGCAGGTGCAGCCGCTGGGAGAGCATCAAGAAGGGCAGGGTGGA GGGCAGGGGGCGAAGGGAGGGGGTGAAGCCCGCACCCTACCCCCACATGAAACTGATTCCACTACCCCATCTCTGCAAGCGTCCAGAGGCAGAGAGGCCAAC
199 RUNX1
TTTCGGGGACAGCTTGGAGGCGGGAGATTTAGGCAGGGCTCCTTAAACTTTTATGTGCATGAAAATCAGGCCAATCACGGGGCTCTTGAGCAAATGGGGACG TGATTCAGCAGGTCTGGGCTGAGGCCTCAGATTCTGCACTTCTAACAAGTTCCCAGGTGGTAGTGATGCTGCCAGTCCAAAGACCACACTG
TGCTTCAGTGGGGTAAACTTGAACCGCTGAGAAGACAAGCAGGGAGTCGGTCTCGCTGAGATTTTTACCTGTGGTTCTAGGAACGCAGAGGCATGTGAGTGTT CAGGCTTTGCATAGACCACTAAGCCACTTCTAAGAACAAGGCTACCTGAGCCATTTTGCAAAAATATGTACGTGCCGAGGCTTTTCCTCCCCACACCTACCTC AACTCTTTCTGCCGACACACTGCACTTTTCAAGGGAACCCAAGTTTGGGTTCGGCAAGAATTGTACGTTGCACACCGTGTGTGATAATTCCAGGGAATTTCA TCGCATCTTGTCTTCCTTCCTAAGCAAATTCGGTGGGAACCTGGTGTGGTGTGATAGAAAAAGCCCCGAGTTCTCTGTGGTAGACCACATCAATTTCATGTGC CAGTCTCTCAGACTCCGGCTTGCCTCTCTCAAGGAAGGGAACAATGGTTTGCTTGGCTTCACTCCTCTCTTTCCCCCCAATTTCCACATGGGTATCTGGCTA AAATGAGTTACAGGTTTCCTTCTGTGAGAATTGCATGGACTGATAAAGTACCATCCCAGGAAGAAAACAAAGATGCTGTCTTCCCTTTCGGCTCACAGTTGCC
200 RUNX1
GTTGGGGAGGGAACACACGCTGTAAATTATAGGCAGCCAGAAGTGACCGCATTGACCACTGCGAGTGGCCCAGCTATGGCAACAGGCTGAGAACTCTGGGGG GAGCCATTTGTTGGCAGGGATGGTGATTCTTCTAGCATCAAGCTCTAAGATGATGACCAAACGGTATCAAAAGAAATGATATTTTGCTACCTCTCCGGCTTG GTGAATGATGTGGACAGTTAACCTGGACAATTTAAACCTTTATGTTGATGGATCACTTGGATGAAATTAACCAGGAAATTGCCAAGATTTCACTTGGCCCTCT GACATCAAATCTCAATATTATATTACCAAATTAGAGATTCTAAAGAACCCTGAGTTCCTTTCACTGAAAGGAAGGAGTGGAAAAACCTTTCCAGATGATCCCT TTTGAGTCTTGGTGCGAGCTCAGGCCCTCCCTACACTGCCTCCGTGAAAGCTAACCGACCCTTGTTCCTAACCTAGCGCAGGTCAGCTGAGTGTCCATCGGGC ACAGGAGCCCTGGGCTTGTCCGGGAGATAGCCAGACTCCTGCTATTTCCTGATGTCTGCATAGCTCAGCGTGTCCCTCACCATCTTTGCCGTTGGCCAGTAA
GAGAGCCCCAGGGGCCAGCAC GCACAC GAAACCCAACCTATTGCTCAATGGAATGCTTAAAAATTTCCTGAATCTGCCTTCCTGAGTTGATAAAATAGGA ACAATACACGTTCTGAGGGGGTACTGAAAGCAGAGTAAAGCCAGGAAGATCTTTTTTTTCTGTTATTCTATACAAATATTGCTTCCTCTGCTTGTTAGCAGCC CAGAGGAAATGCAGCCAGGGAGCCGTTTGCAGCTTTTCACCAGTGGCCGGTGTCTCTGTGTTACCAACCAAACGACGCTGCAAGACTAGTGACTAACGCACGT CTGCATGATTCAACTTCACTAAAATTCCCTCTGCTGCCAGTAAAGAAGCACTTGAAAACTCTTTAATTTGAAACTTGAGCTTGGTTAATGACTTGTTTTCTTC TCTTTCTCTTTAACTTCTCTCTTGCCATCTCCAACACACACACACACACACACACACACACACACACACACACACACACACTCTCTCTCTCTCTCTCTCTCTC TCTCTCTCTCTCTCATCAAGTTTTTTAATTTCAGGGACCCGGAAACATACAGCCCCGTGCATTCACAATAGCATTTGCTGTGATAAAGTGGCCGGCAAGCCCT CTGCATTCCCCTGCTCACTTAGCTGTATGAATAAATAATGAGTCACAGATACAATTTGGGTGCTCAAGAGAGTTTGTAGCCAGAAAATTAATTATTCTCCCAT CCCAGCCCACTCCATCTCAGCTTTGCCAAACCATCAAGATACACTTTGCAGGCACTGGTCAGAGTGCGTGCCCCGACGCACACGGCAATGCCTTTGAGACATT TTATGTTATTATTTTTGTTTGTTTAAGCACAGCCCTCTTTTACCACGAAAGATACACAAGACGCACATGCACACACATACTCACACACTCACAGCTCAACCAC AGCTTTGTCCATTTCAAGAGGCTGGTTTCAAAAATGGAGACAGGTTTTCCACCCTGGCTGTTCCTATTCATAAGCCTGTAATCTAACGACTTAAGCTGCGAG ATGCTTAACTCGGGAAACTTCTCTATTGCCCTTTTCCAGAGAGACCTCGGTATGCCACAATTTGCTTCCTTTCTCTCTTGAAAGATGCTGGTTGTCTCTTTGC ATTGAGGCTACAAGGAAAAACACAGCACAGCCCCATGCTGATGATTTTAACCTAACCAAGTCTGTCAGTCTCCTGTACTCTCTGCCTTATAGAGACAGCTGCC TTGCCACTTTGGCCCTGAAGTCCCCAGGCTGGTGCAAGGCTATCTGAGAGCCTCCGCCTCCTGCCCCACACTGGCACCAGCCCTCCTGGCTGGCTCTGTGCAT GTGCCTGCTAAGCCCCAGGGCAGGCTGCATTCTGGGCCACACAGCATGCCGAGTTAAGGATAACTCAGACACAGGCATTCCGGGCAAGGGACAGCAAAATAA ACCCAGGGAGCTTCGTGCAAGCTTCATAATCTCTAAGCCTTTAAACAAGACCAGCACAACTTACTCGCACTTGACAAAGTTCTCACGCACCGACTGAACACTC CAACAGCATAACTAAGTATTTATTAAAACATTTCTGAAGAGCTTCCATCTGATTAGTAAGTAATCCAATAGACTTGTAATCATATGCCTCAGTTTGAATTCCT CTCACAAACAAGACAGGGAACTGGCAGGCACCGAGGCATCTCTGCACCGAGGTGAAACAAGCTGCCATTTCATTACAGGCAAAGCTGAGCAAAAGTAGATATT ACAAGACCAGCATGTACTCACCTCTCATGAAGCACTGTGGGTACGAAGGAAATGACTCAAATATGCTGTCTGAAGCCATCGCTTCCTCCTGAAAATGCACCCT CTTCTGAAGGCGGGGGACTCAATGATTTCTTTTACCTTCGGAGCGAAAACCAAGACAGGTCACTGTTTCAGCCTCACCCCTCTAGCCCTACATCTCTCTTTCT TCTCCCCTCTGCTGGATACCTCTGGGACTCCCCAAGCCCTATTAAAAAATGCACCTTTGTAAAAACAAATATTCAAATTGTTAAAGATTAAAAAAAAAAAAA AGCCAGCGCCGCCTTGGCTGTGGGTTGGTGATGCTCACCACGCTGCGAAACCCTGTGGTTTGCATTCAGTGTGATTCGTCCTGCCTGCTGACCACTATGCTG GTTCAGACTTCTGACACTGCCAGGCTACCCAACTTGTGGTTCTGTGGTTGTTTATGAGGCCCAAAGAAGTTTTCACACAACCCAAATTACAAATTTAACTGTT CCCCTTTCCACAGCCCATCTCAATTGGTTCTTGCCAATCATGTGACTTAAGTGATGTCAATTTTTTTTTTTCTTTTCTGAGCAATGCCCTTCCTTCCCTCCAC CTGCCCTCCCCCAGGCTGTGCAAGAAAATAGCCGAGTAGACTTTGCAAGAGGGGGGGATGTAGAAAAAAGTGACTCAGTCACTTATTATATCTCAATGGTCTT TGCTGATTTAGTACAACTCGGCTCCTGTTGTTATTTGTGGTTTTTGGAACTACTGATTATTTTGATAAAGATTTCATTGCTGCTTATTCAATAGTAATTCAAC GCTGGCATCAAGCCGCTGCTCCGACAGGATGTGGATCCCATCATTTAAAATGCTAGGCATCAGCTCCGGGAGAGTTAAGTCCTTGGTAACGTCTATCATGGC TAAGTGAAACTATAAAAGGGAAAAATAAATAAAAAGAAATGTTTTGGTGAGAGTCTGACCCCTACAACGGGCTGGCAACTCACAGGTATTTTAAAGCCTGGG AAGGGAAAGAATTTTACTTTTGAAATAAAAGGACTGTTTTAATGAAACCAAAATTATGTGGTTTTATTCCCCCTAAATGGACAACTTTAGTATGTATCTCTTT CAGTAAAGAGATAAAATCATAGTACAGTCTTAACACACACACACACACACACACACACACACACACACACACAAATTAGGAAGCTAAAGGAAAACAAAGCAG GAGAATTTCTGTATTTGGGACAAAGCAGTGGTTACTCTGCAGATGTTTATTTGTATTGTCACTTGGGAAAGCTCCCTGTATTGCCTTTCTCTAGTTCAATTC AATCAATAGGCTAATTTACACCTGTAGGTAAAACTACACTTTGAGCACATGAGGATGCCACAATAGAAGGGGAACCAGGAGGAGACACTTCTCCTGGGGCTG CTAATGAATATTATATAGCGCGTCCTCTACCTTAGAAAGACATGCCTGTTTGAAGATGCTAAAAACAGGATAATTTTGTAAGTGGGCAAACCACTGTGGTCAC ACGTATTTCATTTTCCGGCCCCACTGGCTTTACCTGCTGACAACTAAAACGTCATTTTGTTTTGTAGTTCCAAGATGAAGAAAGGCTTATTTTCCTGATTTAC TACCTTATTCATTTGGCTCTGCTCTGCCTACATCCGCCATAGCACTCTGCGCACGTGAAATTTCGACACATAGGGTCAAGAGAACCTGTGTGATGATGGGTT TAAATGCCAGTCCTGGATTCTAAGCTGCAGTAGCCAGCACAGGCACTTCAGAAAGGCTGAACTCCCACAACACTCCCTCGGTTTTCCCTCATCCACTTAATTT CACACACACAAAGACCCACAACGATAGTAGCTTCCATGGCACAAGTCTTTCAAAAGGAACAGACACAATTTTTACTTACTCCTGTTTTGACTAAAGCAGGAAT
TGAAACTCAACAGACCGCTTTCTCT ACAC G GAGAAGT AGCTGGCCACATGT
chr21:3 AGGGAAAAGAGATAACGAAAGAAAGAAAGAAAAAAAAAAGGGCCGGCAATTTCATGTACATTTGTTTTGGCATTCGCTGAATTCTAGAGATGAAAACAATCTC 549920 CTGCTTTTAATTCAGTCCACGTGCAACAAAGTTGTACGTTGGGAGATCTGGCTTTTAATAAGAACGATTAACAAGCGTTTTTGATCACAGGAAGTTGAGAAG
201 0- GTCGCTGCTTCTAAGAATACAATAAACATTGACTAGCAGTTAGACGGTCCATCTTTCTCTATCAGCCGTTTAGCAGCCTCTACTTTGATTTGGGGCAAATGC
354997 AGATGGGACCAGGAGAGAGCTCCCCACACCCCCACCACCACGTGGGCAGTGGTTCTGTTCCAGAGCGCCTTCCTTCCTGTCCAGGGAGGCAGGCTGCTGAGGC 00 CGTTTCTGGGCAAGAGGCCATTGTCGGGATATTTGCTTTAGATAGCTTGCAGCTGGGCTGAGTGGGTGTTTCATTCAGACTCAACACA
AGCCTGGCGCACCCGCCCTAATTTGAGTCAGGGACCCTAGGCGCCTGCAGCTCCGGTTCGGGTTGAGTGCCTCCTGTCAGGATGTGAAGCTGCTGTCCCCCCC
chr21:3 GGGGGCCTCCAGCACTGCTGAGGACTCAGCAGTCAGCCTCTCCTCCCACTTGGGCTCATTTACAGAGAGCATCTCCAGGAATCAGTCATGGGGAAAGGGGAA 582280 CGCGGAGTGACAACACAACACGTAGAAAGTTCTCTGCCGCCTTGGTCAGGCTTGTCAGCCTCACAGCCCATCCTGCTCCTGCGGGAGGAAAAGTGAGCAGAAC
202 0- TCAGCCCGGAGATGAGCCGCAGGCCGGCAGCCCCTGCCTCTGCCCTGCTTGTTGTGACTGCAATGCAAGGCTCTCTGTAGGTGCGGGGGATTCGGGTTAAAT
358235 GGTCTCCAGTGGTCCAGCGCTCCCAGCAAAGGCCGACCACAAGAATTAGCGGGCTAGTTATTTACCATAACCATATACAAAACCACAAGCATCAGCGTTCCCT 00 CAAATACATCCGAGACGCTGTATATCTCTTTATTAAAGCCTGTCAGGGTTTGTTATTGCACAGCTTGGCCTTGAACCCCAACTAAACCAGGCTGCTTGAGCA
AGAACCAAGCAATGCAAGCATTCAGGCAGGACCATTATAACCCTGAGGCCAAAGGCAGAAGCAGGGAGAGGAGACGTCTTCC
AGACCAGCCTCGGTCTTCGGCCTGCGGGTTCTGCAAAGTCAGGCTAGCTGGCTCTCCGCCTGCTCCGCACCCCGGCGAGGTTCCGGTGGGGAGGGGTAGGGAT GGTTCAGCCCCGCCCCGCTAGGGCGGGGCCTGCGCCTGCGCGCTCAGCGGCCGGGCGTGTAACCCACGGGTGCGCGCCCACGACCGCCAGACTCGAGCAGTCT
203 CB 1 CTGGAACACGCTGCGGGGCTCCCGGGCCTGAGCCAGGTCTGTTCTCCACGCAGGTGTTCCGCGCGCCCCGTTCAGCCATGTCGTCCGGCATCCATGTAGCGCT
GGTGACTGGAGGCAACAAGGGCATCGGCTTGGCCATCGTGCGCGACCTGTGCCGGCTGTTCTCGGGGGACGTGGTGCTCACGGCGCGGGACGTGACGCGGGGC CAGGCGGCCGTACAGCAGCTGCAGGCGGAGGGCCTGAGCCCGCGCTTCCACCAGCTGGACATCGACGATCTGCAGAGCATCCGCGCCC
AAACGTTTAAAATATATTTCTAAACAGAATGGGCCAATTCAGTCACAGTAACTGTTGATCTCCATAGCAGAGCAACCCACAAAGACAGAACTGATTTTTTTCC CATAATCAGGGGTGAAAAATATACAACTTGTTTCTGAACCAAAACCACAATTTCTGCAGTTTAAAATGTTTCACTGCTAATATGGCCCTGGTAGAAATTATGT AGTTTCTTTTCTTCTTTAAAAAAAAAAAAAATTAAAAAAATTTCCTAAGACACTAAATGCTCCATCTGGAATGTAGATTCTGATCACAAAGCAGCTCAGTTA CCTAAAAAATAAAAAATTCCCATCACCTGTCTCAGTAGGGCCTGAGAGTAGTGTGGGGAACCCCAGCTTTGGTATGGAGAGTCATGGCCCCTTGAACCAGAT GAGACCTTGAATAGCCATAGCTGGTGCTTCTCTCAGGATAAACTCTGATGTAGGAAGTATCACCCTCATGAGAGTGGAATTTGGTCATCCAGTTGACGCAGG CATATTCCATGTCTTCTTTTCTGAGACACCCAACCATCCCCACTCCATCCTTCTGCACATCCGTGTAACAGGCATCCCCAGCTTCTCGCGTGTGATCCTTCA GTCCTGCCAGCTGCCTGATGGAAGAAGTCCATTTCTTCCATAAATAGCATCCTCTGCATCTCGAGGGTCCTCGAAGCGCACGGAGGCGAAGGGCACAAGGCC
204 DOPEY2 TACCGGCTCTTGAGCTCGATCTCGCGGATGCGGCTGTACTTGTAGAACAGGTCCTGCGGCTCCTTCTCGCGCACGTGGGTCGGAAGGTTTCCCCACGTAGAT
CACCCGTCGCCCTCCCAGCCGCGCTCGTGTCCGCCCAGCCGGACAACCGCACCGCCCGACGCTGCTGGCCAGCCGCAGCCCGCATCCGCCCGTATCGCCGCC CTGCCGCCTCAGCACGGCTGCCCCCGCAGCGTCTGTTTTGTTTTATTCTAACAGGGTCTCTCTCTGTCGCCCAGGCTGGAGTGCAGTGGCGTGATCTTGGCTC CCTGCAACCTCTGCCTCCCGGGTTCAAGCGATTCACCTGCCTCAGCCTCCCAAGTAGTGGGCATTATAGGTGCCAGCTAACCATGGCCGGCTAATTTTTTTTT TTTTTTTTTTTTTTTTTTGAGACAGAGTCTTGCTCTGTCACCCAGGCTGGAGTGCAGTGGCGCGATCTCGGCTCCCTGCAACCTCCGCCTCCTGGGTTCAAGC GATTCTCCTGCCTCAGCCTCCTGAGTAGCTGGGATTACAGCTATGTACAGCGATGTCTGCAAAGATAGGGATTTAACAGCACTCATATCTTCATGTTCATAA AAAGTCCTACACGCGTGATGTACGTCTAGATCTTTCCTTTTGTCACAGGATATAGCACGGTAGTTACGGATATAGTCTCCGCAGTGCCTGGGTTTGACTCAGC TTCCCCACGTACTGTCCTGCGCATATTTTGTGTCTCAGTTTCCTCATCTTTAAGGTAG
CACGCGCCCCGGCCTGGCTGGAGGGGCCAACCCAGCGGGGCCCGCCTGCCCGCCGGCCTTTCTGTAACTTTCTCTCTTTAAACTTCCAATGAATGAACGTGCC
205 SIM2 TCTTCTTACGGATTTGTTTAGATTAGGGAATAGATTCCTCGCTGATAGCGTTGCTTTGCAAATAAGACCTCCTATATTATTCAAACCAAACGAGTTTGTGTCT
TTAAAGGACTATAGCAGCCCCATTCTATGTTAAGGGTTGGCTATTACAATTATTATATGCTTAGGGAAAAAATGTAAGCCCCGTAGTTTGTGCTTTTCTTGAT
GTACAGAAAGGTTTATCTTAGGTGGATAGGTTTTGTTTTGTTTCTTAAATGGGATTTTTTTGGTTCGTGTCTTTGAAGGGCTGTTTCGCGACGTCATTAATG ACTAATCGGTTTTCAGATTTCAAGACGGTGTGTAATTGATGTAACCACTGAGGAATTTCAGTGCACACCAGACTAAGACTCTTCCAGCGCAGGGGATTCCAG TGCTTCTTGGGCCCTCTGGAAGCCATGGGGATGTTTCCAGACCGAAAGGAGGGCTT GC GGGGAGCAGA G GCTGCCTCTCCCCGACCCAGGATTT GAG CCATGTTTCCGTTAATCTGGACCGAGAGCCCTCTGGGAGAGGGAGGCAGGTCGTAGGGGGCGGGGGTGAGGGGGAGCGAGATGAGGTCGTCGCTGGACGCTG GCTCCCTTGTCGTTGTCCTTTTCCCCAGAATCCATGGTCAGGCCTAGGGAGCCACCCCTGGGTGCTCGAGATGAGTCCCCACCCTCACTGAAGGTCGGTCACT GGATGTTTGTGTGCATCGTAAGGGGCCCACCGAAGTCCCGAAGCCTTCTCAGGGACCAGCGAGAAAGAGGAGCAGGCTTGGGAGACAGGGAAGGAAAATGCA GGGAAAGGGCTCACCCCTCGACCCCAGGTAAAATTAGAAGGAACGTGTGGCAACCCAGGTGCAGCTTTGGTCGCTCGCTCAAGGACTTTGCTAGTCACTACC TTAATTAATTAATCACTATCATTAACTACCAAGGACACCGTTTTTATTCCCCTAAAAGCGTCACCTTGAGGGGAATGGAGAATTGGGCAGCAGCTATGCAAAT CCTGGGACAGGAGACACTGCCTGAGGACCCTCTCTCAC CCCAATCCCAGAACCCGAAGTTATCCCCGACAACCAAGTCCAAGCACATGAACCAAGACGATC GCTTCAGGCAGCTCCTTACCCCCACAAGCGGCCCAGGAGGTGGGCATTATCCCCCACCCCTGGGATTTCTCCATCCCTCCCTCTTCTCTCCTGCGGGAGAGA AGCTGTGGTCACCCAGTTGGGCGCGATGGCTCTGGACTAATGGGGTCTCTAGACCCAGGGCACAAAGGCCAATCTGCCAGGGGTTACTGCATGTAATGAGAT ATCAGACATGTTGACCAACCTAAAAGAAAAGACTCTCCCAGGGAGTAACTCCCAGTGAAATAATTTATTAAAAAAAGCAAAAAAGAGACATAAATTTCTCTCT ACTACTTGAGGAAACAGCAAACAGAACGAATTAGGGTCTTGGCCTCTGCAGGAATAAATTATTTCCGACTTGGTCTGGATACCTGTAATTATTTGTAAGCTGT GGGTAGTAATACTGTAATTGTCCCCCGGTCCTTTCTGGAAGTAGCAATGACCCCAAGGACAATTGGTGACGTCTCCACAGGGTTTACACATGGAAAGGAGTG AAAATCGAGGAATTCTTTCAGATAGCCCAGACCAAAAATCCTCTCAGCCATGAAAAGGTCATATATGTGATGCTGGGCCAAGCGGACTTTTCTGGAGTAACC TATCATAACTGATTGCGGATGTAGACAAGAGCGTATAAACCAAATAGGCTTGAATCAACGCAGTCCTGGATTTTCTGTTGCCTCTGCTTGCTGGGGCAGTGG AGTTCTTAAACTCCACTTCAGAGGTTGGAAATTCTTCCCCCTCCCCCACCTCCTTAGTGACAAGGTCTCTGATCTCCTGCTGCCACTGCAATAGCCTCTCCC TCCCGCGGGGAACGGCCGGAGTTCTTCCCTTGATCTCTCCCGAGTCGGCTTCCGCTGGGGATGGATCGCAGGTAGGCGCCGGCGCGGCCTGGGGAAGAACAGT TGCGGAGCATCTGAAGCGGAAAATCCAAGCAGATGTGAGGCGATCCGGGCCCGCCTCGTTCCTCTTGGGGCCTGAATTTCTTCCAGATAAGTTTCCTAATGG ACATTTCTAAGAGGTGGGGTACGAGGCGGCTTGCTCGCACGCGCAGTGGGACAGACTGCGGGTGGGGACGTACTGAGAGGTCCGGACCTCAATGCGTCCGACC CGTCTCCACACCGCCCTTTTCCAGCCCCCAGTCTCCTTTCATTCCCTACTCTTCAGGCTCCTTTGGGGCCAGTGGGTGAACCGCCATTTAGAACGGTGCCTC GACTCGGGGGTCGTGCGCTCCATCTCTGCCTCCCCCCTGGGGCCCGCGAGGCTGGTCCGGGCTTTCTGAGCTGGGCGTTCGGCTTTAGGCCCAATACCTGGAC CAGGAATTTCTTCTCCCCGCGCCAGAAGGGAAAGACATAGGAGGTGTCCCAATCTGCGGTCACCGCCGATGCTCCTGACCACTCTAGTGAGCACCTGCCCGGT ACTTTTCCATTCCAACAGAGCTTCCAGCTTCATACTAACTATCCCACATACGGCCTGTGGGTATTAGCTCTAAGTGTCCTTTTCCGAGGGCCCGAGGCTCCCC CTCCAGCAGGGAGAGCTCCGGGACGGCCCCCACCAAGGGTTGGGTTTCTTCCTTCACAATTCCACAGAGGCATCCCTGTCCTTCCTACCTGGGAAACCTCGA GTGCGGTGCCCGTGTACTTCTGGTACTTTGCGTGGTGCCATCAGGGACCCCAGAGCCACAGCTGCGTGTGTGTGTGGATGTGTGTGTGTGTGTGCGCGCGCGC GCGTGTACGGCGAAAGGATGTGCTTGGGGGAGCCGAGTACACAACGTCTGCTTGGGCAGCTGCTGGGCAGGCGTTGGGCCTGGAGGTATCTCACACCCACGT TCTTCCAGTCTTCAAACACGGCATTGCTCTGCCTCCCGTAGCGCGCTTCGAACCTGCCTCGCGGACACGTGAACAGAGGCTGTCCCTGGGAAGATAAGTGCGC TTTCCCGTAAAATCCGGGAAATTTGCCTTGAGGAAAGTTTCCGTTCTTGTTACTTGTCGGGTTTCTCCCACTTCCACTTAGCCATGTTTCTGCGATCTGGGT ATCCCTTTCAAGCCCAGGAGGAATTCTCCCGGGTCCATAATTGAGGGTCGGAAGCCGTGGGGGTGAGAAACGCATTAAATCCTCCCGAAGCCCAGGAGGTGCC AGAGCGGGCTCAGGGGGCCGCCTGCGGAAGCTGCGGCAGGGGCTGGGTCCGTAGCCTCTAACCCCTTGGAGCTCCTTCTCCCAGAGGCCCGGAGCCGGCAGCT GTCAGCGCAGCCAGGAGCGGGATCCTGGGCGCGGAGGTGGGTCCGACTCGCCAGGCTTGGGCATTGGAGACCCGCGCCGCTAGCCCATGGCCCTCTGCTCAA CCGCTGCAACAGGAAAGCGCTCCTGGATCCGAAACCCCAAAGGAAAGCGCTGTTACTCTGTGCGTCCGGCTCGCGTGGCGTCGCGGTTTCGGAGCACCAAGCC TGCGAGCCCTGGCCACGATGTGGACTCCGCAAGGGGCTAGGGACAGGCAGGGGGAGAGCCCGGGTTTGCGCACACCTTCCAGCCCCTGGAGGGAGCCTGCTC GCTTCGAACGCCTTCGAACTTTTGACCTTCAAAGGAGTCCCTGGAAAAGGTCAGGAGCGCCTGCTGCAGGCACGGTTGCCGAAGGCCAGGCCTTCCTGGCGC GGGGAGGGCCAGGGGAGGGAAGCGGATACTCAGTCGCTGTCCGACGGCGAGTTTTCGGAGCAGCAGGCTCATGATCCCGGGCCAGTGGCGAGAGCAGTGACAC
CGAGAACCCAAATCTCCGCGCCCCCATCCGCGGCCCGGTGTCCTCCCGGCCCCTGCTGACCTCCAGGTCACGCACCCCACTGCTCCACGGCTCTGCAGCCTGT GGCACACGGCCGAGAGTCCCCACATGATCTCGACGCCAAGGTAAGGAATTGCCCTGCGTCCTCTGAGCCTGTCTCTGGCCTGGGGGGCCGGGAAAGCTGCACT CCTGGAAGAGGTGGGGTTATGTGACCGCCGCTGCAGGGGTGCGCGGAGGACTCCTGGGCCGCACACCCATTTCCAGGCTGCGGGAGCCGGACAGGGGAGGGC GAGGGGGGACAAAAGGACTCTTTAGGTCCAAAATGACCCTGAAGGAGAGTCCAGAATGCCCAGTGGCCGCGTCTGCAACGGAGTCTTCTTTCTCCAATTGCCT TCTGCCCCATCACCATGGGCCCCACCTGCGCCACCTGCGCCCACCCTGTGACCCTGGCTCAGCGACCTTGGCCCTTAATCGCCCAACGCCGATTCCTCAAAAT TCCGGCTGCGCTGAATCGGGCTGCTTTTGCCGCCGCCCCGGCAGTTGGGCCCTGTTTCCGCCGGCGCCCTGGGAGAGGCCTCACCACTCGGCTGGGCTCCCT GCCCCTCCCTTCCCCTGGCCTGAGCGCCCCTGCGGCCTCCCGCTCCTCCTGAGAAGGCGACAATCTCTTTGCACCTTAGTGTTTCGAGGACAGAAAGGGCAG AGGGTCACTTCGGAGCCACTCGCGCCGTTTTCACGTGTGTGTGTAATGGGGGGAGGGGGGCTCCCGGCTTTCCCCTTTTCAGCTCTTGGACCTGCAACACCG GAGGGCGAGGACGCGGGACCAGCGCACCC CGGAAGGC CGA CC CCCCGGCAGGGCGCC GGCCAACGAG CGCGCCGCC CC C CGGCCGCGCC GC GTGACCTTCCCGAGAGCCACAGGGGCGGCCTCGGCACCCCTCCTTCCCTCGCCCTCCCTGCCGCCCATCCTAGCTCCGGGGTCCGGCGACCGGCGCTCAGGA CGGGTCCCCGCGGCGCGCCGTGTGCACTCACCGCGACTTCCCCGAACCCGGGAGCGCGCGGGTCTCTCCCGGGAGAGTCCCTGGAGGCAGCGACGCGGAGGC CGCCTGTGACTCCAGGGCCGCGGCGGGGTCGGAGGCAAGATTCGCCGCCCCCGCCCCCGCCGCGGTCCCTCCCCCCTCCCGCTCCCCCCTCCGGGACCCAGGC GGCCAGTGCTCCGCCCGAAGGCGGGTCTGCCATAAACAAACGCGGCTCGGCCGCACGTGGACAGCGGAGGTGCTGCGCCTAGCCACACATCGCGGGCTCCGGC GCTGCGTCTCCAGGCACAGGGAGCCGCCAGGAAGGGCAGGAGAGCGCGCCCGGGCCAGGGCCCGGCCCCAGCCGCCTGCGACTCGCTCCCCTCCGCTGGGCTC CCGCTCCATGGCTCCGCGGCCACCGCCGCCCCTGTCGCCCTCCGGTCCGGAGGGGCCTTGCCGCAGCCGGTTCGAGCACTCGACGAAGGAGTAAGCAGCGCCT CCGCCTCCGCGCCGGCCGCCCCCACCCCCCAGGAAGGCCGAGGCAGGAGAGGCAGGAGGGAGGAAACAGGAGCGAGCAGGAACGGGGCTCCGGTTGCTGCAG ACGGTCCAGCCCGGAGGAGGCTGCGCTCCGGGCAGCGGCGGGCGGCGCCGCCGGGTTGCTCGGAGCTCAGGCCCGGCGGCTGCGGGGAGGCGTCTCGGAACCC CGGGAGGCCCCCCGCACCTGCCCGCGGCCCACTCCGCGGACTCACCTGGCTCCCGGCTCCCCCTTCCCCATCCCCGCCGCCGCAGCCCGAGCGGGGCTCCGC GGCCTGGAGCACGGCCGGGTCTAATATGCCCGGAGCCGAGGCGCGATGAAGGAGAAGTCCAAGAATGCGGCCAAGACCAGGAGGGAGAAGGAAAATGGCGAGT TTTACGAGCTTGCCAAGCTGCTCCCGCTGCCGTCGGCCATCACTTCGCAGCTGGACAAAGCGTCCATCATCCGCCTCACCACGAGCTACCTGAAGATGCGCGC CGTCTTCCCCGAAGGTGAGGCCTCAGGTGGGCGGCCGGGGACGCTGGGGAGCCCGGCGGCCCCGGCCCAGGCGGGAAGCGCAAGCCAGCCCGCCCAGAGGGGT TGCCGCGGCCTGGCGTCCAGAGCTGGGGCGTCTGAGGGAGGTTGCGTGAGGGTCTTCGGCTTCGGCGCTGGCTTGGGGCGAGGGGCCAGGGCCTTGGCGGCCC AGGCGACCAAACCCTCTCCTGGTCCAGGGCTGGGTGAGGGCGAATTACGAATTGTTCCAGGGGCAGGCAGTCCCCCAGCCCGCACGGCCAGCGAGTTCTTTCT GGTTTTGTTCTTTCTCCCTTTCCTCCTTCCTTCCTTCGCCAGTGCATTCTGGTTTGGTTTGGATTTTTTTCTCTCTTTCTTTCCTTTCTTTCTTTCTTTCTCT TTCTTTTTCTTTCTTTCTTCCTCTTTCTTTCATTCTCCCCTTCCTTCCTTCCTTGGCCCCCTCTCTCCCTCCCTCCTTCCTTCCTTCCTTTGCCAATGCATT GTTTGTTTTCTTTCCTTTTCTGCTTTCCTTCCTTTCTTTGGAAGTTCACTCTGGTTTTGCTTTCTTTCTTTCCCCATCCCTTCCTTTCTTTATCCCTCCTTCC CTTCCTCCTTTTCTTTCTACGATTCCCTTTATTTTTCCTTCATTCCTCCCTCTTTTTGTCTCTTCTGGAGGAGGTGAAGGAGGGTCAGCTTCAGGCGCTGCG GTCAGCGGGGATCACGGTGAGGCCCAAGCACTGCAGGCTGAGGCCACAGAGCGAACACTTGTGCTGAGCCGGGCCCTCTCGTGAGGCTGGGGTGCGGGAAGTC CGGGCAGGAGAGACCCGCCCCCGCCGTTGCTGAGCTGAGACCCGGCTGAAAGAGAGGGGTCCGATTAATTCGAAAATGGCAGACAGAGCTGAGCGCTGCCGTT CTTTTCAGGATTGAAAATGTGCCAGTGGGCCAGGGGCGCTGGGACCCGCGGTGCGGAAGACTCGGAACAGGAAGAAATAGTGGCGCGCTGGGTGGGCTGCCCC GCCGCCCACGCCGGTTGCCGCTGGTGACAGTGGCTGCCCGGCCAGGCACCTCCGAGCAGCAGGTCTGAGCGTTTTTGGCGTCCCAAGCGTTCCGGGCCGCGTC TTCCAGAGCCTCTGCTCCCAGCGGGGTCGCTGCGGCCTGGCCCGAAGGATTTGACTCTTTGCTGGGAGGCGCGCTGCTCAGGGTTCTGGTGGGTCCTCTGGGC CCAGGAGCTGGGAGGGCTGCGCCGGCCTCTGGAGCCCCGGGAGCCAGTGCCGAGGTAGGGAGACAACTTCCGCCGCAGGGCGCCGGACGGTCGGGGCAGAGC GGCGACAGGTGTCCCTAGGCCGCAGGGCGCTTCCATAGCGCCATCCCCACCAGGCACTCTACTCGAAATCGGAAAGCTCGACCTTTTGCGTTCGCCTCTGCC AGCCTGTTATTTGTGCTGGCCGCTGGGTCTGGAGCTGCGCTTCTCGGCCCCTCCCCGGTGGAGCGCAGAGGGCTGGTCTGCAAGCGCGGCCTCCAGCCCCGC GCTCCCCGGCCCAGGAGCCAGGCGCGGGCTGACCCGGGAGCACCCGGCAGCGGAGGGGGCTGGAAGCGGACCCTAGGCCTCTCCTGTGCCACCCGGCCCTACC
GCGCGGCCGCGGGGCGCTCTCCTCTCGGGCGCAGCGGTCCTTCAGCCCAGGGCAGGTTCCTCCCTTTCCTACTCGGAACGTGGCAAAGATACCCCAGTCCCA CCCCTCCAGCTGAGAGCTGTTGCCCAAGGTCGTCGCTACTTGTCCGCTCAATGGTGACCCCTTGGCAGAGAACTAGGGATGATTCCACTCCGGTTGATGTTTT AGGGGAAATTAAAAGAACATTCGGTTTTCTGAGTCTCCTTCCGGGGAGGCGTGGTGGTAACTGGTTTGCTGGGAAGAGCCGTTCCTTAACCGCATGCAACAA GCAGGTGTGGAATCCGGACGAGAGGGCACTCACTGCCTTCTGCCCCCTTTGGAAATAGAAAAAGCCTTCGAAGCAGCAATCCAAAGATCAAATGATTTGCGGT CAATGATTTCAATTAAACCAGAAATTAGTAAGGGAGGGCCGAGAAGACACGGCTGCTCAGAAGCTGTTCGCTGTTTGAGGGATTTCCCGGAGAGCCTGTTAA AGATGCGAAGTGGTGGGTGTACCGCTCAGCCACCTTTAAACCGGCTCTGTGCGTTCTGGCTCTGGAAAGCAAGTCTCCAGGCATTTGGGCTCAGAATTGCTG GCCCCGAGTTTGGGCGGGGGTGGTCCTTCTGGGGGTCAGGCCTTGAGCAGCTTGCACTGGTGGCAGGTTTGGGAGCAGTTGAGGGGCTTCCTGTGTGTCTTTT GGAGGGGGTGACCCTGGAAGTTGGCACTCTGGAAGGGAGCTGTTTGGCCCTAGAGTTTTGGAAAGGGCCCTGAACCTGTTCGGTCCCCCTCGGAAAGGGAAG GAGCAGTGGCTTAGTCCCTCCCTCCTCCATTCGTGCAATGCCTGGGGTAGGGGTAGACCTGGAGCCGGTGGACTCATATCCTTGGAATTCGTCAGGACAGCT CTCCGGGGCCTTGGCCCTCAGTCAGTCTGGGGCTGAGGAGTAGGGAAGCTGGGAACTTGGGGCAGAGGAAGAAGATGCGTTTAGAAAGACCTCCATTATGCA ACTGGAGTCCATTTATGCAAACTGGTCACCCTTCCAGTAGCTCCAAAGAGTGGCAGTGGAGTGGCATCTTGATTGATTTAACCTCTTCTCAGGGGACCTGGGT CTGCGAGGGAGGATATGGCTGCGGGGTTGGAATAGGATCTGTCTGAGCTGCCAGGGTCAGGGTGGTGGCCCTAGGGAGGTTTTAGGGCCAGGGTGGTCCCGG CTGTGGCAGGGGCTCTCAGATCGCCTCGGGCTCTCAGCTGCAAGGTGAAAAATACCATGAGGAATTGATCTGCCAAGGGCGGTCTTGTCTCAAAGCAAGTGG TTGCTGGGGTAAAGAATCTAGAGACCAGCTTAGGACTCTGGGAGGAAGAAAAAAAAAAAAAGAATAGCATAGTCCTAAGGAACTGCAAGGATCACCAGATTA CCCTTCATACCTGGGGAAATTAAGGCCAGACATGACACAGGCCTTTCCCAAGGCTCTGTAGCAAGGGCAATAGCAGGCCAGTTGCTGCCACTGCGGTCCTGT GGGCATGTTCTCACTCCACTGCACCCAGGAGGCTGCCAGCCTCTGTTCCTTTTAACATAGATCTCCTCAGTTGTTAAGACAGAAAGAGGAACTCAGAGGGGTC CCTGTGTGCAAGGCAGAGGGAGACCACCAGAACCAGGGTAAGCACCCCACTTGGTAGCCAGTTCAAGGACTTGGGGATGTTTTCAACATTTACAGCGAGGTTT GAGGCCCCATTGTCATGCAGCGCTACTCGGCCTTGGTCTCCTTATCTGTAAAATGGGCCCATTAGCAATGCACAGGGTTGCTGTGATGAAGGGTGAGGTCCC CAAGCAAAAGCTGTGCAGTGAGGGGGGAATCCTAAGCATTGTTCCTATGCCATTCACCCCTTCCTGTGAGCTCCCCATATTCCCTGGCTCAAAGGAGTCTTG ATGGCAGGGATGGAGGACTCACTGCCTGGACTTTGAAGACCCCTGCTTTCTGGGTGACCACCTTTTCTTCCCTTTGACAGTGAACTAATACATTGGAGGTAG TAGTGCTGGGAAGAGGACAGGAGACCACGGCTGACTTTGGACATGGGCTCGAAATTGATAACTTGATGAGTCTTGGAGGGTGGTTAAGATAAGCTCGGGGCT GGGCAGCGCTGAGGTCTGATGGTCAGCCAGCCCTCCCCAAAGTGTGGCCCTCCGTTCTGGAGATAGGGGCTTTGGAAACTGCAAAAGCGTCCTGGCAGGCCA CTCTGGTTGCTCCCTGGCCATAGCTGCTCTGACTACAGGCAGCAGGACGCAGGTCGGCCTCTGCCCATCGGAGGTCAGAGGCAGGGCCTCCAGCACCAGACTC AGCAGTGCCACTGCAAACCTGGCACAACAGGCTGGTCCCAGGACTCAGCTCAGCAGTGAAGTTGGAAACCAAGGTTGAGTCTCCCCATCTCCCTTTCCCCAAC CCGAAAGACCCAAGATGGGTGTGGGTGAAAGAGGGAGAAAGAATTGCTACTCCAGAAACTGTCATTTGCCCACACGAAACGAGGTGGGGTTCAAGGTCTGAAC TCTTCCAGTGCCTGGGTGCCTTTGGGTTTAAATTCAGCTGCAGGTGCCCCCATCACCACTTCCACCTGAGCACACCACGAGAAGCCAGGTTATCTTAGAAACT GTTTCCCGGAATCAAAGCGACTTGATTTGGAGAGTTGGGTGAGGAGAAACTCACCCCTATACCCCTCAGGGCGTCAGAGATGTGAGGCAATTCTCTACCTCC CTGGAAAAAATGCAGATTTATTAAAGGTCGACTGTTTAGCAGAACAACGTAGATTTTTTACAACGCTTTCCCCGTCTCTGCTTTGAAGCCTGCCAGGCTGCA CTGGGGATCCAGGAGGGAAAGCCCGCAGGCGCAGAGGGGACAATCCGGGAAGTGGTAAAGGGGACACCCGGGCACAGGGCCTGTGCTTTCGTTGCAGGCGAG AAGTGGAGCGCGCGCTGCAGATTCAGCGCGGGGCTAGAGGAGGGGACCTGGATCCCTGAACCCCGGGGCGGAAAGGGAGCCTCCGGGCGGCTGTGGGTGCCGC GCTCCTCGGAGCCAGCAGCTGCTGGGGCGGCGTCCGAACTCCCCAGGTCTGCGCACGGCAATGGGGGCACCGGGCCTTCTGTCTGTCCTCAGAATACGTAGG TACCCGCGGGCGACAAGCCGGGCCAGGCTAGGAGCCTCCTTCCCTGCCCCTCCCCATCGGCCGCGGGAGGCTTTCTTGGGGCGTCCCCACGACCACCCCCTTC TCACCCGGTCCCCAGTTTGGAAAAAGGCGCAAGAAGCGGGCTTTTCAGGGACCCCGGGGAGAACACGAGGGCTCCGACGCGGGAGAAGGATTGAAGCGTGCA AGGCGCCCCAAATTGCGACAATTTACTGGGATCCTTTTGTGGGGAAAGGAGGCTTAGAGGCTCAAGCTATAGGCTGTCCTAGAGCAACTAGGCGAGAACCTG CCCCAAACTCCCTCCTTACGCCCTGGCACAGGTTCCCGGCGACTGGTGTTCCCAAGGGAGCCCCCTGAGCCTACCGCCCTTGCAGGGGGTCGTGCTGCGGCTT CTGGGTCATAAACGCCGAGGTCGGGGGTGGCGGAGCTGTAGAGGCTGCCCGCGCAGAAAGCTCCAGGATCCCAATATGTGCTTGCGTGGAGCAGGGAGCGGA
GAGGCAGCCGGTCCTCACCCTCCTCTCCCGCCACGCACATATCCTTCTTGACTTCGAAGTGGTTTGCAATCCGAAAGTGAGACCTTGAGTCCTCAGATGGCC GCAACGCGCCGAGGTCACGCTCCCCAGAAACACCCCTCTCCCCTCCCCTACCCCAGCTCCCCCTGGGGCGGGTGGTAATTGGGGGAGGAGAGGCCGCAGGCA GGAAGGGGTGGGAAAGCCAGAGAGGGAGGCACAAAGTGATGGCAGCCCGGCAAACACTGGGGCTTCGGGCTGGGCCGCGCTCGTTTAATCCCACAAAAATCCC ATTTTGGAGGTGAGAAATAGAGGTTAGAGGTCGGGCCCTTCTGGAGATCAGACCGAGGAGACGGGCCCAGCTGGCGTCTTAAAGCAAGGAGGGGGAGTCGGG GGAGGTGAGACCCCTGCACCCAGGTGGGGCTCCCAAACCGTTCTGGATTTACCACACTCCCAGGTCCGATTTTCCATGGAGGGCTGGGGTTAGGGACTGGCAC CTTCTTGTTGTTAACCGCATTTGATATTCACAAGAACCCTGTGAGGAGACTTTGTCACCGTTTTTAGATGCCTGAGGTTGCCGGAGGGGCAGTGAGAGAATC TCTAACCTGGTGTTCCTACCACAGTCCAGGCCCTGTGTCCTGGGCTGGACCCACAGCCCCTGCCACCACCCAGAGGAAGGCGCGAAGCTGGCTGCCTCCTTT CGGGTCTCCCTTAGGTGCCCTCATGAAGGGGGACGGCCACCTCACAGTGCAGGAACTATCTCCCCGTTTGCTCCCAAATAGTCTTCTTGGTGTGGTGCTGTCT ATGGTCTGTGACCTGCATCTGGAGTTACCCCCAGGACCAGCTTCGGAAGAGGAGGGATCGCTTGGAGGCCGTGCAGTGTGAGGAACGGCAGGCAGGGTGTGG ACCAACATGCACACACTCGCAGGTGCTGGGGCCAGGGAGGAATGAGGCGCTGGCTCCCTTTCCCTCCATTTCTCCCTGGGGGTCCCAGCAACCTGGCCATCCC TGACTTCCAACAGCACAGCGTCCCCACAGGTCCTGCAGTGCTCTGCAGGGGTGCAGGGAGCTCCCCTCCCCCCAGCCGCAACCTCACCTTCCTCACCCCCACC CCTCCGGCAGGAAACCACAGGCTGGGTTGGGGACCCCTGGTGCTCCAAGAGAGCAGTGAGTGCTGGGAGCCGCTAACCCCGAGGCGCCTAGCACAGACTCTTC TCACCCCTTATTTCTGAAATAAAGCCCTTCCTTAGGTCCAGATGAGGACCACGTGCTCAGTGCCTCACTTTCGTGGGAGTGTATATCACTTTACAGTATCAA ACAATTTTCTTTCGTTACAAATCTTTATTTAGTCTCTGCGTTTAGACCAAAGTAGATTTTTATGGGCTGAGTGAAAAAACCTCGCCCGCATTGGTTTCTGAT GAACAGCTGGCAGCGCCACGGCCCCGGGTGGGGTGGCCTAGAGGCAGGGGTGCTTGGGAGGAACATCTAGCACCCGACCACCTCCACCAGGTGGGAAAGGGAC GTTTGCACCAAATCTCCGCCGGCAAAGCAGAGGCTTTGGGGAATTACAGAAAAACTATAATGATCTAAAAGAGAACAAGTTATCTTGAACTGTGCGGGTATTT GAATCATACAGAAAATTGTCCTGTGTGCCCAATGCACTTTTGCATGTAGAGCCAGGGCCTTCGAGGAAGCTTTCAGGAGATCCCGGGCAGCGGAGTCTGGTCT GGAGTTTCATTTCCGTAGGTGCAGATTTCTCCCCAAGTCTTCCCGCCATGGGCTTTGCAAGAAGCCAGGGCCCAGAGGCCACGCTCACCGTTAACACTGCAC GGGCAAAGGTGGCTCCAGGACAACTGCCCAACCCCAGGAACGACCCAGCAGCAGAGAAAAGGACAGCTGCCAGGGTGCCTTTGTCGCTTTTTGGAAATCAGA TTCCTGGGTCCTTAGTTAAGTCTTACTTCACCAAATCCCAGGACCTTCACATTTTGGTTCTTGCCATTGCTAACAGTTGTAAATGCTGCCGCCACGAGGCCT GGAGGAAGGACCCGCTGGTGAGAGCACAGGGAGTGCTGCTGTGATCACGGTGGTGATGCGGGGTGAGCGCGATTTCCCGGGATTAAAAAGCCACCGCTGCCCC CGTGGTGGAGGCTGGGGGCCCCCGAATAATGAGCTGTGATTGTATTCCCGGGATCGTGTATGTGGAAATTAGCCACCTCCTCAGCCAGGATAAGCCCCTAATT CCTTGAGCCCAGGAGGAGAAATTAAAGGTCATCCCTTTTTAAATTGAGGAATAGTGGTTTTTTTTAACTTTTTTTTTTTTAGGTTTTTAGTTGCCGAATAGG AAGGGTTTGCGAAGCCGCTGCCCTGGGCCGAGGTGCATTTTACGCTTCCAGAGGTCGAGGCCTCCAGAGACCGCGATGCCCAGGGCGTTCCCGGGGAGGCTG GAGACCCAGGGTGCTCTGGGTGACTGCACGGCGACTCCTCGGGAACCCACTCGTGGCTGCCCGCTTGGAAGGGCTTTGCGGCCCCGGGAACGATCTCCAGGAT CTCCACGGCTGGTCAGGTTCCCCGTCCCTCGTATCCCGCGCTGCCCGGGGGCTCCTGCCTTTGGTTCAGTGCTCGCGGCACCACCGCACTCAGGACGGCAGT GGGGGCTGGGGCTGGGGCTGGGCCTGGCCCAGCGTGGGTTGGGGCGGGGGACGCGCCAGCAGCGCCCGCAGCTCGCTCCGCAGGGGTCGCAGCCAGGGGTCG GAGCTAGGCTCGTGGGCCGGGAGACGCCGGGCGCGTTGTCCTCCGGGGAGGTTGGGGTGCAGGCGGTGCACCGACCCTCGCCATCTGGCGCTGCAGCCACCA CCACGGCGCTTAGTGGAGGGTCTGCGGCCAGGCTCCCGGCGGAAAGATTCCGGGGAGGGCTCGGGGGTTGTCCCAGCCCGCGCTAAGCGCCGCAGCCTCGCCC GGCTTTCCTGCTTCCTCGGACTGTGCAGGGGAAGCCTGGGGTCTCGCGGGGCGCAGCAGTCAGGTCGAGGGTGCAGCAGGAGGGGAGTCCTGACGGGCAGGTC CCTCTTTCCCCTGGTGCGCAACACTGGTTGGTAGCTTTTGCGGAGGTGGTGAAGAAGGGCAGGAGGCCTGTTGAGCGGAGGAGTCCGGGGATCCCTAATTAT TGACAGGAGACCCTTTCCAGTTCGGCCTGTGGCCCATCCCTCTCTCACCGCCGGCAGATTGGAGTCTGCTCTCGGGGAGCCCCCAGGTAAACCCCTCACAGG AGAAGGTTTCGGATTGGAAGGAGGACCGCGCTCGTGGGGCGCCTGTGAGAGCTGGGAAGCCCAAGGGGTAGCGTGTAGGGGGTTTTTTATGCGGGAGGAGCT CCTCCTGGGCGGCGGGGACTTTCTGTCTCAGCCTGTCTGCCTTTGGGAAAACAAGGAGTTGCCGGAGAAGCAGGGAAAGAAAGGAGGGAGGGAAGGAGGGTCC TTGGGGGAATATTTGCGGGTCAAATCGATATCCCCGTTTGGCCACGAGAATGGCGATTTCAAAGCAGATTAGATTACTTTGTGGCATTTCAAATAAAACGGC ATTTCAGGGCCATGAGCACGTGGGCGACCCGCGGGAGCTGTGGGCCTGGCAGGCTCGCACAGGCGCCCGGGCTGCCGGCCGCTGCGGGGATTTCTCCCCCAGC
CTTTTCTTTT AACAGAGGGCAAAGGGGCGACGGCGAGAGCACAGA GGCGGCTGCGGAGCCGGGGAGGCGGCGGGGAGACGCGCGGGAC CG GGGGAGGGC TGGCAGGGTGCAGGGGTTCCGCGTGACCTGCCCGGCTCCCAGGCATCGGGCTGGGCGCTGCAGTTTACCGATTTGCTTTCGTCCCTCGTCCAGGTTTAGGAG CGCGTGGGGACAGCCGAGCCGCGCCGGGCCCCTGGACGGCGTCGCCAAGGAGCTGGGATCGCACTTGCTGCAGGTAGAGCGGCCTCGCCGGGGGAGGAGCGC GCCGCCGCAGGCTCCCTTCCCACCCCGCCACCCCAGCCTCCAGGCGTCCCTTCCCCAGGAGCGCCAGGCAGATCCAGAGGCTGCCGGGGGCTGGGGATGGGGT GGTCCCCACTGCGGAGGGATGGACGCTTAGCATGTCGGATGCGGCCTGCGGCCAACCCTACCCTAACCCTACGTCTGCCCCCACACCCCGCCGAAGGCCCCA GACTCCCCAGGCCACCTGAGACCTACGCCAGGGGCGCCTCCCGAGCGTGGTCAAGTGCTTTCCAATCTCACTTCCCTCAGCAGGTTCCACCCAGCGCTTGCTC TGTGCCAGGCGCCAGGGCTGGAGCAGCAGAAATGATTGGGCTGCTCTGAGCTCTGAAGCATTCGGCCGCTGTGTGTGTGCAAGGGGCGCAAGGACGGAGAGAC AGCATCAATAATACAATATTAACAGGAGCACTTGTCCAGAGCTTACTGCAAGCCACATTCAGTTCCGGACCTTATTGACTTCCCCCTCCCATCTAGAGTGGAT TCTGGTTTTTCAATTTGTTTTGTTTTGTTTTTTGTTTGTTTGTTTGTTTTTGAGACGGAGTCTCACTCTGTGGCCCAGGCTAGAGTGCAATGGCGCGATCTC GCTCACTCCAACCTCCGCCTCCCGGGTTCAAGCGATTCTCCCGCTTCAGCCTCCCGAGTAGCCAGGATTGCAGGCACCCGCCATCATGCCTGGCTAATTTTT TAGAGACAGGGTTTCACCCAGGCTGGTCTCGATCTCCTGACCTCCGATGATCCGCCCACCTCAGCCTTCCAAAGTGTTGGGATTACAGGCGTGAGCCAACGC TCCTGCCTTGATTCTGTTTTTAACTCCATTTTTTAGAGGAGGAAATTGAGGCACAGAGAGGTTAAATAACATGTCTAAGGTCACACAGCAAGGGGTGGAGCG AGTTAGCCCACTGGCCTAGCTCTAGAGCCCACCCGGATAACCAGAACTTGGTGAGGCCTCCGGGCTCTTGCTTGGTTTGGAGCCAGGTGCTTAGCGCCCCGA CCCGGGGCCATTCACCCTGCAGGAGCTGCACGCGCCCCTGACCTCGGCTTTTCCCTGGCAGCAGAGGGGCTTTGCGGGTCGGCCGGGTAGCCCTGAGCACAGC TCGCCACTTCCAGGTGGGCTGTTGGCGCTGGCTGGGGACACATCCCGATCTTTCAAATGCCCTTTACAGAGCCTCATCAACGACCCGATTCATTCCCCCCTCC TGTCATTTGTCTCTGCCATCGAAAAATGCCTACCGAGAGCTGCTCTGCATTTCCGCCCTCTATTTTGTGTTTTACTTTAAAATAATAATAAAAAAAATGTTG CTGCAGGACGCCATGACTTAGGTCAGCGAGTCAGCCGCTAGCTCTGCATTTCCAAAAAGCAGATCTTTTCACAACTCTCTTGCCCCAAGTGCCCTGGTGTGGT TTATTTTTTAAAATGCATGCCTGCGGAAGAGAAGACCCGGGGAATATTCGAAACCCCGAGCTTTTACAACATAAAGCGCATGGTGTGGCCGCGGCGAGTAAT GCGCT
CAAATCACTTGAACTCAAGTTCAAGACCAGCCTGGGCAACATGGTGAAACCACATCTCTACAAAAGTAAAGAAAATTAGCCAGGCATGGTGCTGTGTGCCTGT AGTTCCAGCTACTCCTGGGGAGGTCGAGGCTGCAGTGAGCCGCAATCACGCCACTTGTACTCCAGCCTGGGCGACAGAGCAAGTCCCCATCTCAAAAAAAAA AAAAAAAAAAAAAAAAAAGGCTGGGTGTGGTGGTCCCAGATACTCAGAGGCTGAAAAGGGAGGATTGCTTGAGCCCAGGAGTTCAAGGCTGCAGTGAGCTGC ATCACATCAATGCACTCCATCCAGCCTGAGCAATGGAGTGAGACCCTGACTATATTTAAAAAAAAAAAAAATAGGAAGAAACAACTCAACCACAGGGCTAGT TGT ACTCGGT A AAAATGATAAAGCCCTAAACAGAGAATTAGCCCGTTTCCAGAAGAGGCCAAGAACAGATGATACAGCTGAACTGAACTCCTGCCTGTAC AGCTCGTTTTCTACAAGATTCCAGACCTGGAAGATGATGGCATCCAGCCCCCATTGAAGCACCTCGAACAAGAAAAACGCCGAGTCCGAAGAGCCAGGCCTT AACACACGATTCCTGTCTATAAATAACTCCCCCTGGGGAATAAAAAGCAGGATCCAAGGCAGGAAACCCGAGCCGTGGAATCTGGTAAGTTCTTAGGAAACCC
206 HLCS ACTCACGGGCCTGAGTCCCCCGTGGAAGCGGCGACTTCGGCACCTGGACACCCGAGTCCCCAGAGCCCCGGGCGGCCGCGCGTCCCTACCTGCAGGCCTGAT
CCGGCCGCGGAGCGCTCCTGGCCCCGCTCCCGCCAGGCTCCGGGACCGCTGAAACGCACCCAGGGGGGTGAAGGCGTAGTCGCCAAGGACAGCGCAGATGGC GCGGAGGCATGGGAGCCGGAACCTACCGTGGCAAAGGGCCAGGTCGGGACGCCCCTCGGCGCAGCCCCAAATCCTGCCCGCGCCCCAGCCCCGCTCAGGCCGC GCCCCTGCCACCTCTGGCCACACGGGCTGAGACGTCTGGCTCCTGCACAGCGCACTTCCCGCTGCCCTTCTCCACTGGCTGCTCAGGCCCTGCCTCGCCAGC CGGCATCCGCGGGGGATCCCTACCTGTCCTTTAGGGCTTGCCTCATAGGTCAAACGTCACCTCCCAGGGAGGTATGGCCTGCCCCCTGGCCAGGTGGGCCCCT TCCACGCTCGCCTGCAACACCACCCACCCACCTTGATAACTGCTTGTAAAGGTTGTACTGCTTTCCCCCTTGAGACTGCAAACCTTCAAGGGCAGGAAATGG TCTGTTTTCCTGGCAAAATAATGAAGTTGGCTTAAGGTTTTGCTGAATAAAATGAGTGACAGACAAAAGTAGCCAAATTTGGCACTCCTGATGGGTTATTTG TGAAGGAGGTGCAATGTATGGGCTTAACTAGTTATTCTGGATTTCTTTCCCCATGTTA
CAAGGCCGGTGCACGCGGACCCGAGGATTCGGTAGATGTCCCCGAAGACCCGCTGCCGCTCTAAGGCGGTGGAAGCGAGATTCTCCGGAAACCCAGGGAATCC
207 DSC 6
GATGCTCGCACAGGACCAAAGCCCGAGGCCGCGGGGACCACAGAGGGACGGAGAAGCCGGGACTCCTCACATCCCACATCCGGCAGGGGAAGCCCAG
CTGATAATAAAGTTTTACCATTTTATAATTTAAAAATGTAAATATGGAGTTGGGCATGGTGGTTGGGAGGCTGAGACCAGAAGATCGCTTGAGCCCAGGGGTT TGAGACCAGCCTGGGCAACATGCAGAAACCCTGTCTCTACAAATAAAAAATTAGCCAAGCGTGGTAGCACGCACCTGTAATCCCAGCTACTCGGGAGGCTGA GCAGGAGAATCGCTTGAGCCTGGGAGGTGGAGGCTGCAGTGAGCTGAGACTGTACCACTGCACTCCAGCCTGGGTGACAGAGTGAGGCTCTGTCTCAAAAAA CAAAACACAAAAAAACAAACAAAAAAAAGCAAATATATGTAAAAATAGGAAGTGCGGTTTCCCAAAATGAGGTCTGTAAACAACTGA
GAAAAAGTAAAAAAGGATCAGGATCTGAGGTCAACTGACCTCTCCCTGCGCTCTGGACAGGCAAACAGGCAAGGTTCCCTCTGAGGCCGTAGCGGCTTCTCGT GGGCGAGTCCCTGTTCGCAGGTGACGTGTGGACCACGCTCTTCCGAAGCGTCTGGCCTGTGTGCTCTCGGGGAGGGGACGCAGGTCAGCCCACCTAGCCGAT GCTAACAAGTCAGTTTGTTTTCTGAACGGAAGCTTAAACCTAGAAAAGTAACTGGGTTGGGGTGGGGGTGTAGCCACATGCAGTAAAAGCACTGCCTGTCTGT ATAACAACGACCTGATGAAAAAAGGAACGCGTGAAATGGGGAGTGTTAGGGCGTCACAAACTCCAGTGTGGTTGAAATGAAAGCAGAAAGCAAATGGCAAGCT GGCTTCCCCTTCCAGCTTTTCACAACCCTGCCTTGCTCATGGTCAGCCCCAAGCACGGGCGGAAGAAAGGACTGGAGGGGAGGGAAAGGGGTGGGGAGCGAG GTACCAGAGGCGTGGGAGGACGGGGACAAAGGGGCAGCAAGGGACCGGCGGAAAGGAAAGTCGGCGTTAGCTGGATTGGAAACAGTCCAGACAGAACGATGG
208 DSC 3
CTCTGCTGCCTCCGGGTGGGGCACCAAGCGGGGAGCGGGGCCACGAGGCAGGGGACAGTGAAGCACCATGCAGCGCCCACCAGCCGGCAGCGCCCACCAGCCT GCGCTGCGCTGCACATGGTACCCGCGGCCCCAGCTGGCCAGTGTGTGGCGGAGATGAGACCCTCGTGAAGAGACTAAGCGGCCACAGCAGGGGGAAGGGTTGC TCACATAACCCCATACTGCTCACACTACGAGGTTAACTGCCGTGAGATCTGCCTGCAGCCAGCAGAAACCCGTTCTAGGAAAACGTTGCCCAGTGACTTCAGT GAGTGCCACTGACCCGGGCGCCTCCGCCCCGGCGTCCGGCAGCAGCACCGATTGCGCAGGAGGCACCTTGCAAACAACCTTTCCTGATCCGCGCTGCAGTTCC CAGGCCGGTTGCAGCCGTTTCACAGAGACTGCGCACACAAAGCGTCTCCGTGCCCTGCCATTCACCTTTCGACACAGCCGCAACCCCTCTTTTCAGTGTTAA ACCTGGCGCCAAAAGGAACATGCGATGTGACGTGTTACCTCTGCGCATGCGCCGGGCATTCCCAGCGCCCCGAACCTGATGAACGCGCGGTGGGGACCCCAG CTTCCGTGCTTTCGTTTTCCTGGAAGCTACGTGTCCTCAGTCTACATATTGTTACCTGGAAAATAAAGTTTTCTCCTTTTTTCTTCCTTTGTTAACAGGCAG AGGTGTAGGCTGCAGGTTTCGGGCCTAAGAGAGGGCATGGCTGGCGACACGGAGTAGACTCCTAGATGACATAACGGAGGCGAGTCTGCACCGGGGACTCGGC ATTAGGAGGAGGCAGAGGAAAAGCCCACCACCGTGGCCGAGGGAGATCTAGCAAGCAGCTTGCAGGGGGTGAAGTGTGTGCAAAGCAGGCTGAGACCTGTCC GTATCGAAACACGCCGCGGTGGTCAAGCAGGCTTTACCATGCT
TGAGGCTCAAAACAGGTGTCTGTGAGCTTCACAGGCGGTAAGGCCGTGTCTACATGGCCGGGACATGCATCCCGGGGCTGCCCCTGCCGTGCTGCCCGAGTGC
chr21:3 ACGGGGGATGAGGACCTGACAAGGCCATTGATCTTGCGGGAGCTTCCTGAACTACTCCAGCGTGAAAATCTTCCAGAAGGATTCTCCACAGGGCAATGAGGC 784110 AGAAATTTACAGCTTAGCCTGATTAATGGGCCAGGCAGTTAAGAGTTCTTTGCCAAGCTATGAGCATAATTTATAGTCATCACGGCAGGAGGAAAGGCCACAT
209 0- AACTCACATCCTTAAAGGGCCCTTAGAACAAGAGACACGCCGGATCATTGAAAACGTCTCCACTCCTGGCGCCAAAAGAGATCGGCACGTTTCTGGGTATTCT
378418 GGTCAAAGAACAGGGAGTCTGGATTAATATACACGGCAGAAAAAAGCGAAGAAAAGACACACAGGTCATATATTTCTGACTGATATTCCGTTTGTTGTTTTC 00 GAGGGACTTGGTATTTATTTAACCACATTCTCACTTGACACGCCCCCTCCCCACACCTTGTAAATGCCTTCCTCTTTAGCCGAGTCATTTTTCATCACATAG
ATTGAAATGTTGCCAGGAAGGCGGTTTATGAGATTGTAGAAATGGCACTAGAGAAAGCAGTGTGAAAAGAGGCCTAGAACGT
TCTCTACATGCTATCTACTAAAAACTTAGGCAAGGAAATGCATCAGACCAAACACCCCACAGCACAGAGAACCGACCGGCCATTGCTTTCCAATCTCCGCAA CCTAACCATTGCTGGAAGAAATCTTACTCACAGTGCACAGACAGTAGGTATTTTATTGAAGATAAACATATAGTGGAACAAACCAAATTACCCCCATTTGAGT TACGTGAGCACTCAGTTCTCAGCGTGGATGTCCCACAAATCAAGTCAACATTTGCGTCCCATTACCAGCAGCCACTTGCCGAGTATCTCTTCGCTTCCACTG
210 ERG
GACTGCCTGGCATCCCTGATGCTAAGGAGCCACTGAAGAGCCTCCAAATGTCTGACATTCACAAACGCATCTTTTGCTTTGACCCGACCCTTCAACCTCTCC AGTCTGCTGCCTTTTCTCAGACACACATCCAGGCACCGTTAGGGATAGTTAGAGAATCTGAAAATTCAGAAGCGCTCCGAAAAGCCTTTCCAAAAGTAATCC CAGCACTCAACAGTGAATTTAGAAACCCCAATTTTTTTCTGAGTTTGAAGTTTTTAAGCCTTGCGGATGGTTGGAGTAGGAAAAA
chr21:3 TCAGACAAGCTCTGTGCAGTCGGAATTTTTTAAAGATGCACTGTCACTTGAGGAAGACAGGTGATCTTCCTGCGGCACAAATAGAAGCAAAGAGATTTCTCTT
211 927870 CTTCTCTGTAGAGCAACACAATTGATAAATGGCCGATAATCTCCACCAAATTGGCAGCAGTAGGCTGCCCGAAGGCAGCAGGCATATTCGTCTTTGTGAATT 0- TTTTACTATGATGCTGTCACATTTCCAGGAATAAGACGGTTAAAATGATATATTGTTGTGGTTTGGCATTTGCAGCTTTGCTCTGACTTCCCTGGTAACTGCC
392798 AACATCTGCAAATTATTATGTGCTTAAAAAAAAAATCAACCGCCACCGCAGGCTGCCCCCACGGTCCCTGGCTGGGCCAGGCCTCCTGCCAGGCCACAGGGC 00 GAG C GGACCAGGAGGCAGCAGGG CAAAACCCAGG GCC AGGAAGCCCCCAAAGACAG A GGA AGAGC GGGAGCCCGAAACACA GCGGCAGT
CTCTCAGTTTCCAGGTACCGGTTCTCACATCATCCATGCATGTGTTTGAGGAAAAACAAAAAAAAATTGATGGTTGCCAAAAACAAAAATGCTTCCATATCA AGTTTATCAGTGTCAATGTCAAGAGACTTCTGGTTCGTAGACTCATTTTGGCTTGAGGCCACCAGAAGTGAACTCTGGTTTCTAAATGCAGAAGCAGAGGCAC TGGCCGATCATGGAAGATGCAGGGAACTGTTCAAGAGGCCCAAGCCTGGTGCTCAGAAACTTGGCAGGATCAAGCATCTCGCCCAGGAATTCATCCCCTGCTT GTCTAAGCCGGCTGGCTCTCGTGACTGACTCGGAACAACAGAGCAGATGTTTGCGTGGGAGGCAAGCCTCACCCAACATCTGTCCTGCGGCGGGAAGGCCTG GTGTTCACAGATAGAGCTGGAGTTCCCCGGTGGGTGGCACAGACAATTAGCTGGGGCTGCCTCACATGTAATCTAATTACAGGGGAAACAGGCTCAAACACC GGTGATAAGCAGCGCAACTGTTTCGGGTGACTCTGTAATTTTTCCTCCATTAATTTTCTCCATAACGCAC
GTTGCCTGGGATATGCTTATATCAAAAACTTACGTGTCACTTACCTAGCATTTGCATTTCACTGGGCCTCCTAAATTCTGTGTGGTAACCGACTGCCACCGG
C21orfl
212 CATGCTGTTTACTTCTCTATCCTCACGCAGCCAGTTGCCACATTCAACATAACACTGCAAATATTGCCGGTGGATCCTGACTTCCTCGTGGACCCTACTGTGT
29
CGGGAAAAACAAACAAACGAACCCTGGAAGGAAACACCATGAGT
TCATAAATATTTCCAAATGTATTCCTATTTGTCTCTACAGAGTCTAACAGACATAAATAGCGAATTGAAGGTTCTGTCTTAAAACCCAGCAGAAAGAAAAAC ATGACCAGAAAAAAAAAACAATTGTCTTTGGCTTCCCAAGAACAGCATCGGATTTCAACTGGAACCACAGATGGTCCGTTGATAGAAGCGACTACTTTTTAGC TCTGGAGGACGACAAAAGGAACCAGCTTCTTCCTGTGGGTGTCACAGCGAGGTCGCCTGGCCACATCAGGTACCAGAGCGAGCGCCCTCACCTGATAGGCCCT
213 C2CD2
GTACAACCTCAGCCACAGCACTGTCAGGAGGAACACGCGGAACTAGCAACCTAGGAGGGTAAAGGCGGAGTTGGGAGGGAACACGAGGCAGGCAGGTCGGCT GCTGCTGAGCTACAGGCTGCACTCCTAGGACGTCTACGTGTAATTGAGAAAAATAAGACAAAAATAACTTACTGTGCAGGCAATTAATTCTGGTTGGCATAGC GATCCTCTTAAGTTAAAGGGAATGAGCATGAGATGAAGAGAAGTAAGAGGCAGAAAGAATTATGCAAGAGCAACATCAGAGTGGA
ACGCCGAGCCGCCTCTGCAGGGGAAACCGAAGCAGATGTGGTGAGATAATACATCCAACCCTGAGTGCTACTCTAACCTGCCAGAGGCGGAGGGTTCTCAGT AGATGAAAGCATTACAGATGCGTTAGATCTAAGGGAGGGGCCTGCAGATGCGCAGCTGGCAGAGAAACCAGGGAGGGGCTGAACTGTCAGTCGCGACCACCA GGATCTGAATCAGTTCACCGACAGCCTTGGGGACATTCACCTTGGGCTCCACAACCTGTCAGAAATGCCCCCAAGCCCAAAGGCGTCGAGAGAATGGCCAGGT TGTTTCAGATTGACACATATCCTAATGTACAAGTCAGCCCACACACCCCACGTGCACTGAGCGTCTCTTGTTGTTCACCCCAAATAAACTCTGCCGGAACTG GGCGGGACTCGCAGGGGCGGAGAAGGGGGGAGACGGGCAGAGGGCAGAAGTGGATGGTGAGAAGAGCCAATGGAGGGGCCCCGTGAGAGTGAGCAAGGCTGC CCCCTAACCGACGTCCTGGGGCTACTGTACAAACAAAGAACCACAGGCTGGGAGGCTGAACAACAGACCTGCACTCTCTCGCAGCTCGGAGGCTGCAGGTCT AAATCGAGGGGCTGACAGCGCTGGTTTCCTCTGGAGGCTGCGAGGGAGAAACCGTCCCCTGCCTCTCCCAGGCTCTGGGGTGAGCCCTTCCTGGCATCCCGG CTCATTGTAGATGGATCACTCCAATCTCCATGGCTTCTCAGGGCTTCCCTCCATGCACCTCAAATCTCTCTCTCCTTCCTTTTGTAAGGATGCCAGTCATTG ATTTAGGTTCACCTTAAATCCAGGATGATCTCATCTAAATTACATCTGCAAAAAGACCCTTTTTCCAAGTAAGTTGACATTCACAGGTACCTGGGGTTAGGAT
UMODL
214 TGGACATATCTTTTGCAGGGGTGCAGGGGGCTGCCACTGAGCCCGCTGCACAGGGTGACCTGGGCCAAGGGCCCTTCACTTTCACTTCCTCATTGGCAAGCT
1
CCCTGTGTTTGGACTGGGTCGAGGCTGTCAACCTTGCTGCCCCTCGGAGTCCCCCCTGGTGTCCCCCAAACAGATTCTAAGCTGCTTTCCTGGGGCTGGAGGC CAGGCATTGGGATTTTTTAAAGAGCTTCCCAGCAGGTGAGCAGCCTTTCATGGGTATCAGGAGACCTTCCTGGCAAATGTGGTGAAGGTCCTTCCTCCTGAGC GATGCCTTAGACCCAGGAGCCCAGGGAGGCTGCTCACCTGATCGTTAGGACAGGAGCAGTGGAAACCTCTGGCCTCAGACCCCCTGGAGGAATCCCTCCCTCT AAGACTCTGGGACTGGTGCACGCAAGGAGCTATCGTGAACATTGCTCCCAACTGGCCGCTTGCTTGTCCCCCGGCTCCCCTTGGCCCCAGTGGCGGCTTTGCC TGAATTAGAGGGCGTGAGAGCCACCTGTGTCTCAGCACTGCAATTAAAGCAGGAAGCCCTTTCGGAAGCAGCCGTGTGCACCAGCCTCCCATGGGTGGAGCA AGCAAACCACCCACTTCTGCCCTCTGCCCTTCTTCCCTTTTCTCGACACCCTGCGGCCCCCCAGTTTCAGCAGAGTTTATTTGGGGTGAAAAACAAGAGATGC TCAGCGCCTGTGGGATGTGTGGGCTGACTCGTACATTAGGATGTGTGTCAATCTGAAATAACCTGGCCGTTATATGGATGCCTTGGGGCTTGGGGGGTTTCT GCAGTCTGTCGAGCCCGAGGTGAATGTCCCCAAGGCTGCTGGTGAATCAGATCCCTGGCGTTCTCCGTTGGCAGTTCAGCCCAACAGTTTCTCTGCCGGCCGT GCCTCTGCAGGTCCCTCCTCTGATCTGATTGGATTAATATTTGAATCAATAGACTGAGTCAAGCAGAATGTGGGTGGGCCTCATGCAATCAGCTGAAGCCCT
AAAAGAGCAAAAGGGC GCCCCTTCCCCCGAGGAGGAGAGAAC
CACATTTCAGAGCTGAGGTGCTGGTGCGGGCAGGTCTCCTGAGCTGGGGGGTCAGCTGTGTGGCCAGTGATGGTGACGCCTCAGGCCGTGCATGGCCGGGGA GCGGCCCTGCCTCTGCACTCTTTTGACTCCATGACTACTGGTGTCTTCGGACGCCAGAGTCGGGGGAGCAACCATGGGGCACCGCCCCTGCCTGGGGAGGCA
UMODL CACGAGGCCTGAGCCCAGCT ACAGGGGGACATCCACCCCCGCTGAGAGCCCCACCTTCACGGCGAGGATCTGTAGAAGAAGACATTTGATATTACTCGGCA
215 l/C21or AAAAAACAAGAAACGAAAACACAAAAAGAGCTCCTCTGAAGAAGAAAAGGTATTTGCGCTGTGGTCCACCTAGAAATAATGTTGTTGGCACAACTAGAGCATT fl28 CCTCAGTCATTCAGGAGCACTCCCTGCCGGTGCGTCCACATGTCCCAACCCCGATAGATGAGGCGCTGTTCGCCCGTGGAGGGGTCAGGTTGTCGTGACCTT
TCTTTACCCTTAGGCCGTCCATCCCGGGGCCTGGGGTTTCCTGCGCCAGTCACGGTGGGCTGTGTAGGTGGCCATGTGTTCGGTCTTTCCCCAGGAGGTACGT ACCATGTGCTGGGAGGCCTGGAGGCTGAGCCGCCCCCCGCGCCTATGAGTTGCACCCTCACAGCGGCGGCCAAACCTCCTGC
CAGGCTTGAGCGGTGACTGGGAGACCCCGGGAATGGAAATGGCGCTCAAATGCTGGTGTGGTGTCCGCAGGGGAACGGCCCGCGGGTGTGTGGAGTCTGCGCC
216 ABCG1
CCTGTGGCTTCAGCTGCGTCGGGGGACTGCGGGAATCTTCCAGACTCCAGTTTAAATCAGAGAGGTGTGTCCACGAAAAGAGTCAAACTAAAACATT
AACGAGACAGTGCAAAAAGCCGCTGCCTGGTGACCTGGCATGCAGACTCGGCCCTCCCACTTGCACGGTGATCCACTGAAGACAACAGCTGCCTCTGTACTC CGCTCCCCCACACTCCCCTCCTTCCTGCCCTGGTTTCTCCATCCCTAGATGCCATCCCATGCCCCAAACCATCCGCCAAGCACAATAACCTCGCCCCCACCC CCCCATGAGGTCACTCGAGTTGACAACCAGATAACAGTTTTTGTTTTGTTTTGTTTTGTTTTGTTTTGTTTGTTTTTGAGACGGGGTCTCGCTCTGTTGCCC GGCTGGAGTGCAATGACGTTATCTCGGCTCACCACAACCTCCGCCTCCCGGGTTCAAGAGATTCTTCTGCCTCAGCTGCCTGAGTAGCTGGGACTACAGGCGC
chr21:4 GTGCCACCATTCTCAGCTAACTTTTGTATTTTTAGTAGAGACAGGGTTTCATTATATTGGCCAGGCTGGTCTCGAACTCCTGACCTCTTGATCCGCCCACCTC 259830 AGCCTCTCAAAGTGCAGGGATTACAGGCGTGAGCCACCGCGCCCAATAGCAATTTGATGACCCATCCCCTCCACTGCTGGGAAAAGGCTGGGCACCGCCCAC
217 0- CTCCATGCAGCTCTCTTTCCCTGGCTCGGAATCGCTGCAGGCGCCACAGACCAGACGCGCACTGTTCCCCACTCCTGCTTATCGGCCGCGCGGCATCCCCTT
425996 TCGCAGCACTCCAGCATCCATGCAGCCGCGCGGCACCCCGTCTTCGGAGCACTCCAGAATCCATGCAGAGCGCAGCACCCCACATCCAGAGCGCTCCAGAATC 00 CATGAAGCACGCGGCACCCCCTCGTCAGAGTGCTCCAGAATCCATGAAGTGCGCAGCACCCCTTAATCGGAGCGCTCTAGAACCCGTGCAGCGAGCAGCACCC
CACACCCGGAGCGCTCCAGAATCCATGAAGCCAGCAGCACCCCACACCCGGAGTGCTCCAGAATCCACGCAGCACGTGGCATCTCCTCGTCATAGCGTTCTA AATCCATGCAGCGAGCAGTACCCCACACCGGGAGCGCTCCAGAATCCACGCAGCGTCTGGCACATCTTTATCAGAGCGCTCCAGAGTCCATGCAGCCACAGTC CTCCAACGGACCCTGAGATTGTTTCTGCAAAAGGCCATGCCTTCATAAATCTGAAAATTTGGAAAACATCCTTCTACTTATATCCTTACAACCCACCATTCA GCTGTAGAAGCCTTTCTGGAACCCCAAGCAGAAGGATATCCAAAATGTAAAAACGGTGGGGCCT
ATAGTGCGACTGTTCCGAAGTCTTTATCACAGTTACTGGTGATGCTTTTTTCCAGATGTCCTCGACGTGCACCCATGAAGGGCTCCACCTGAGAGTGCCAGG TCCTCCGTGGGATGGGGCTGGAGGGGGTGCTCTTGCCGTCCTGGGCTCCCAAGCAGCCATAGGAACAATAGGGTGATGGGGTCCCAGAGATAGAGGCCAGTG CAGCAGCGCTTTGAACCCCTCACACGGGCACGGGCCCTCTGGCAGGGATGGGCGTCCCGGTCACACGGAGATGGGGGCTGCTGCTGCCTGCAGGTAGAGGAA
chr21:4
GGACGTGTTTGGCAGTCCTGTGACCCCTGGGCACCTCGCCTCCCCCACGGCCGGCTCTGCTTGTAAACAGACAAGTGCACAAGCGCAGCCCGGTGAAGGCAC
291000
GCGGTCCCAGGAGGCATCTGGGCTGCACCCCAGCGAGCCGCCCATACACGTGGAGATGCCGGCCAAGGCCCTGCAGCACACGGCAGAGGAAGGCGCGATGGG
218 0- GCCATGCTGGGCCCGGAAGGTGCCGCCGCCCGGAGCTGTAGCCATCACTCCAGCTCTTCTTTTAAGTGTTCCCAGAAATTGTGACCCACCAAAATCTGAGAGC
429110
ACCCGACAGTAAGCCAGAGGACCTTGATGTGAGATCCCAGCACGGTGTGGGGGCGGACTGTGGTGGGTGCTGTCTCGGCCCCCACCCCTTCCACAGGTCGGT
00 TGCACATCCCACGGCGCCTGCTAAGCTGCAGTCTTCTCCAAAGGGGTCACTCTCCGTGGGAAGGGAGCCACCCGCCCCCGGGTGATGTCCCCAGTCAGTGACT
GACGACAGTCCCCAGCCGAGGTGAGGGACCAGCTCCTGCATCCCTCACTCCGGGGCTTGCCTGTGGGCCAGGGTGGGGGCGAGCCTCAGCAGAGACCGCGTCC CCCTTGCCTGTCCTGCCCTGCCTCCCCTGCCTCCCCCGCGCCTCTGCTGAGCACGCCCAGAGGGAGCTGCTTG
CACTTGAAAAGCACAACTCATGGTGCCAAAGCTCTGACACGGACTCCACTGGAGCTGTGGGCAGGGGGTGCCAAGGTACCGAGTTCCAAGCCGTTGTTATTT
219 PDE9A AGAGCGTGCCCCCCGCCATGAGAGCAGGTGGGGGGACATAAAGTGACACAGGATGGACTGGCCAAAGGCTGAGGACGATCACTTACCTCACAGGATGATGCC
CCCCCACGGACAGGCAAGGAGCTCTCACCTTCCCCAGGACCCCAGCTGCCACCAGAGCTCCAGATGGCCCTGGGGGTGTCTGTAAAGCCTGTGACCGTCCACC
AGGTGGAGACCAGGCTGGCCAGGGGAGGGAGAGGAAGTGACCACTGGCCCTGGCACTGGCTGGCCGGCTCCAGCAGGCCCGAAGGGGAGGGAGGAGCCTGGGT GCACCAGACTCTCTCAATAAGCAGCACCCAGACACTTAACAGATGGAAAGCGGTGGCTTGGAACTCACTTCCAACGAAACAATAGCAC
AGCACCTCCTACCCCACCCTCCCCATTCCTGCCATCCCCAGGGTCCAGGGAGCCCAGATTCCAGGGAAGGGTTGCATTAGCTCCCACTCGGAGTCCTGATGC GCAGAGACAGACAGAGGCCCTGGGAGAAGTGAGCATGAATTATTAAGACAAGACAAGGGTGAGGCCCCAGAGAGGGGGTGGCGGAAGGGTCATGTTCATGCA CGAGAGTTGCTTCGAGCTTGAACCGCGTATCCAGGAGTCAAGCAGATTGCAACTGGCGAGAGGCCTTCAGAAATGCCCCGTGAGAGTCCTGTGTGCAGAGCTC CATCTCAGCACACTTCCTGTTCTTTTGGTTCGTCGATTTTTGCATTTTCAGTCCCCTGTGATCCATTATTTATAACAGTGGAGATTGGCCTCAGACACTAGC GTGAGGAAAACAAAAGCGAAGCTACGCAGAAAAATGACAAGAGTGATGAGCACAGCAGTCATGACAAATGAGCCCTGTGCGGAGGCCCGGGATCCGCGCAGAT GCCGGCGCGGGGGAAATGGGCCCTGAAATCCCACCGTCAGGCCAGGCAGCTCTGAGCGTGACCTGGAGGGCTGTTCAGACGGTCTGGGTAGCCGTGTCCTGC
220 PDE9A CATGAACATCCTCCGTCGGGAGAGGAATTCCCCACGGATTATCAGAGCTGCTCCCTCCACCCCCCGCCACGTCCCACGCGGGCCACATCAACTCCCTCTGCA
CCTCTGGCCAGCGGCTGAGCCCTCCGTGTCTCCCCTCGTTAATGCCTCCTTCACCATCCCCTCCTGAAGTTTCCCCCATTGCATACACGCGCTGAGGCCCACC CGGTATCAAGGACTCCCATTGCTTGCGAAAAAGATTCCACCCCTCTTAGAACAGAGACCAGGGCCGCTGTAGCAAATGGCCATAAATGCCACAGCTTAAAAC ACAGAAACGGATTATCTCGCAGCTCTGGAGGATGGAGTCCAAAATCTGAATCGCTGGGCTGAAATCCAGGTGTGGGCAGGGCCGCGCTCCCTCTAGAGGCTCC CCCGGAGATTCCCTTCCTTGCCTCTTCCAGCTGCTGGTGGCTGCCAGCAGTTTGGGAATTGCGGCCGCATCACACCACCTTTCTGTTTGTTGTTGACATCCCC GCCTCCCCTGCCTGCGGGGTCTTAGATGTCTCTCTCCTTCCCACTGAGTTTCACTCCACATTTGAATTGGATTAACTCATGCCATGTTAGGCAAACGTGCCCC TCAAATCCTTCCACTTAACAGACATTTATTGAAGGTTCCTGTGTGCGGGGCCCAAGAGAAGGGA
GAATGTTCAAAGAAAGAGCCCTCCTTGCCTTCCTCTTCTTCCACCCCTGCCCTCTGCAGACTGGGGTTCTGTAGACCCCCAAAGTAAGTCCGCCACACCGGA
221 PDE9A
GGAAGTGAGTTACACAGGGGCCCACATGGGAACCGCTTTTTGTCCTGTCTTGGTGGGAAAATGGCCACGACCCCAGCCCAGGCTCTGCCACGCCACA
CCATCTTCCTAGGCCTGCGTTTCCCCCACACCGGGGACTTGTGCTGGAAAGAAAAGCTGCGTTGGCAGCCAGGAGCCGGGGAAACTGTCCAGGGAGGCATCCT CTGCGATGAAGGCGGGGCCTCGGCGTGGCCCGTTCCGCGCTCTGTCCAGCCCTGGAGAAGCCCCACCCTCACCGAGCTCGAAATACCCCCTCCCTGAGAGCC AGACTCATGGCCGGGACCCCTTGGACAGAAGATGCGGATGCTAACCCGGCGCTTCCACCACAGCCCCGGCGGCACTGGGGAGCGAGCGCGGCCATCCCGCGC TAGGTGGTGTTTCTCTGCAGGCGCCAGTTTCACCGCGGGCGCCCAGGATCCTCAACGGTTCTGTTGTGATGTGATTCCCCTCTTCGACTTCGTCATTCAGCCT CAGTCCCTCAGTCCCCAAATACCGAAAGGCAGTCTTTTTTTTTTTTTTTTGAGACGGAGTTTCACTCTTGTTGCCCAGGCTGGAGTGCAATGGTGCGATCTC GTTCACTGCAACCTCCGTCTCCCTGGCTCAAGCGATTCTCCCGGCTCAGCCTCCCGAGTAGCTGGGATTACAGGCACCTGCCACCACGCCCGGCTAATTTTTT GTATTTTTAGTAGAGACGGGGTTTCACCATGTTGGCCAGGATGGTCTGGAACTCCTGATCTCAGGTGATCCACCCGCCTCTGCCTCCCAAAGTGCTGGGATT CAGGCGTGAGCCACCGCGCCCGGCCTTTTTTTCTTTTTTCTTTTGAAGTTAATGAACTTGAATTTTATTTTATTTACAGAATAGCCCCCATGAGATACTTGA
222 PDE9A
GACCCGGTGCCAAGCGACAGTGTTGACCCCAGGTGGTCAGTCCTGCCTGGCCCCTTCCGAGGGATGCGCCTTCACCATAACCATGTCACGGACAGGCGTGTG GCAAGGGGGCATCGCTGTATTTTTCACAACTCTTTCCACTGAACACGACAATGACATTTTTCACCACCCGTATGCATCAACCAAATGAAAAGATGAGCCTGT ACATTCCCGTGCGTAGAGTTACAGCTTTTCTTTTCAAAACGAACCTTCAGTTTGGAGCCGAAGCGGAAGCACGTGGCGTCTGACGTCTCCAGGGAGACCCGCC GCCCTCGCTGCCGCCTCACCGCGCTTCTGTTTTGCAGGTAATCTTCAGCAAGTACTGCAACTCCAGCGACATCATGGACCTGTTCTGCATCGCCACCGGCCT CCTCGGTGAGTGCGCGCTGCGGGCTCTGCCCGGTGACGCCACGCGGCCTCCTCGCCTTTTCGGGATGGCTGGGAGGGGCGGGAAGAGGCGCTGAAGGGCCCG GGCACCGGCCTTCTACAAGGGGCTCTTCGAAATCAATCAATGCGCAGAATCCCGAGGGAGGCTCAGCCGCCCTCCGGGCCTCTCTGCCTCCACAGGTGATGGC TGTGTCCACAAGGAGGAAACCGTCGGGCTGAATTAAACAGAACCGCCCTCCTAAGAGTGTGGGTTTTTCTGCCGGGCGTGGTGTCTCACACCTGTAATCCCA CACTTTGAGAGGCCGAGGTGGGCAGATCACCTGAGGTCAGGAGTTCGAGACCAGC
AGGCAGCAGGGTTAGGACTTCAACATACAACTTTTGGGGGGAGATGTACTTCAGCCCATAACACACCACGTGGGAGGATAACACCGATTTCAGAGCTTGCAG
223 PDE9A GGAAGCCGCCAGGAACTCCAGTGAGACATCAGCCCCCAGGTGCCTGTCAGGCACGCCGGGCTGTGGGGGGCACCTGGGCCCATCTGAGTAACGGAGGCGCATC
CGCACTTCCCCCAGGAGTACATTTTTAGAACCCACAGCGCCATAAACCAAAGACAAGGAGACTTCCTGGTGCCCCGTCAGCTTCTGGAGGCGACGTTCTCGGC
TGACAGCTCTGGCAGCCTCCCCTGTAGGTGAGAGACAGGTAAATGGGACTCTTGCTTCCAAAACGGAACAGGGTAAAAATTCTCAAGCGTT
TGCTGCACCCCCGCTGCCCTCCCTCCCGCTGGCCGGCAGCACCTTCTCCACCCGGGCCCCTCTGCTCACAGCGCTCCCCGCCCCCGTCTCCCCGAGGGGCGG
chr21:4 GAGCCAGGACATGGCCCTGAAAGCCTAGCCCTGGCCTTGACCTCCCCAGAGCGCCCTCCCCACCCTCCGCCCTCTGCCAACCCTGGCCCCTGCCCTGGCCCC 313080 TCCTTGTCCTCTGCTGCTGGCCTTGGGGTCGCGCCCCGCAGACTGGGCTGTGCGTGGGGGTCCTGGCGGCCTGTGCCGTCCCACGCCTACGGGGATGGGCGA
224 0- GTCCTTCTTGGGGCTTCTCTTACCCACTCTCCAGTCACCTGAGGGCGCTGCTTCCCTGCGGCCACCCCAGGTTTCTGTGCAGCCGAAGCCTCTGCCTCTGCG
431315 CCGGGTGATCCCAAGACCCCGGGGTCCAGGGAGGCACGGGATCTGCTCCCCCGGTCCCAAATGCACCGGCTGCGCCTTAGGAGGGACGGCCTCCACCCATGGC 00 GCTGGCGCCCAGGGGCCGCTCCTCGGACTACAGCACTTGCTCGTCGCCCTGCGCCCTGTTTAGTTCTCATCACCAGCAGCCTGGACTAGGGCCCTGGTCCTTC
TGGCCTCCTTCCACAGCCCGCTGCACATCTCACCCACTTCCCCGAGGTGCTGTCATTGTTTAGCTGGGCCCCTCAGCCTCCG
TTAAAGGGGAGTGGTTGTATGAAGAGTTCCTCAGTCAAAGGTGTGCAGCTGGGAAGCCCACCCCACCTAAGAGGGAGGTCTGACAAACTGTCCACACTGAACC
225 U2AF1 ACTCAGACCTGCATCAGGGCCCCGTTTCTTCCATAAGCCGCCAAGTACAGCCCTGAGTCAACTGAACTCAGGCCTGGGAGGCTTCCCAAAGCTGACTTGACTC
AGCTTTGAACTGAAATGACCGTACCATGACAACCCTGATGAAAAGCTAAACTGAGCCCAATTATTCAACAGTAAAATTCAGTTGGTCTCACTCA
TGCTACCAGCTGCTTGGGCTTGGGCAAGTCACCCTAGCTCTCAGATGTCATCTGTAAATGATGACAATGCCAATGTGGCACTGTTCTGAGAGTCAGACAGAAC GTATGTGTGCTTCACATATGGTGCTCATGAAGTGCTATCATTATCTAAGGAAAACAGAAAACGAAGTTCAGAGTCTCTCTAAACGCATGACACCAGACCAAC
226 U2AF1 GGGAGTTTCAAAAAATAGGTCTGAAGTAAATCAATTCTCCTGGTCTCAATACACTGAAAACAAACTATTAGGGGACTGACCGAACCCACCTTAGGAACCACCT
TACGTCACCTTCTGTCTCTACTGCAAAACCCTCCCTTAATACTGTTCAAATACGCTGACAATCCAGATCCATATCCAATGGAACCAGCAATCATGCCTGTGT CCAGCAATGTCAGGGAGGGAAGCCGATCTCTGATGAAT
CAGGTGCCGGCCACCACACCCGGCTAATTTTTGTGTTTTTAGTGGAGACAGGGTTTCGCCATGTTGGCCGGGCTGGTCTCAAACTCCTGACCTCATGTGATCC ACCCGCCTCGGCCTTCCAAAGTGCTGGGATTACAAGTGTAAGCCACTGCGCCCGGCCAAGAGTGAAGTTCTGATAGCTGGGGTAAGAAAGGCCGTGGGAACA CCGGTTTCAGACACGCTGGGTCTAAGACGCTGCGTCTGGCGCTGCTCGGCATCCAATGGGAGCCGTGGAGAAGCCAGGCGAGTGCGTAGGGCGGAGCCAGCGC
chr21:4
ACAGGAAATAGGACGTGATGAGGTCAACCGGCTGGTCCAAGTGTGGACGGAAGTAGAGGATGCAAGCACCGAGCCCCGGGGCCCCCAGCATTGGCGGGGAGG
344660
GCTCGCGGTGCGGGAGAAGCAGGGGACCGCGCATCCTGGAGACCAGGTGGAGCCAGTGCGCCCGGAAGGGGCGTGGCCCGCTGACAGCCGCCCAGGAGGCCG
227 0- GGGAGGCCTGGAGCCGAGGGCCGCGCGTGGCAATGTGGAGAGACATTTTGGTGGAGTCATGGGGCCACAGCCTGATTGGTGAGAACAGGAAGGGAAATTGCA
434476
ATGGGCCTGGGCCCCCTGGCTCCCGCATACTCCAGGACCAGGGCTGAGTCATCGTTCACCGTGTGTGACCAGGGCCCCGTGTGGCCGGCTGTCACTCGGTATC
00 CAGTTACCCTGGGCAGACCACTGGCGGCACCCCCCAGCCAGAGGCCGCAGCAACACACACGCCTGCAGGCGACCAGGCCGGACTGCATGCCCCGTGGGGGAAC
TGAGGGCGTTTCAGTAACAGAGTGTTAGGGGACACGGGTTGGGTGGCTTGGAAAGGGCCTAAGGTGGGGTTTGTTTTAGATTGGGGTGGTGAGGGCGCAGGG CCCGGTAGGATTCTCTAACAGGGCAGCAGCCACTCATTTAGCAACAGGAGAGGCGTCCAGCGTTTCGTGGGCT
ACCCAACCACAGGCCTCCTCTCTGAGCCACGGGTGAGCGGTGCAGGTTCTGCTGTTCTGGAGGGCCTGAGTCCCACCCAGCACCTCATAAACAGGGTCCTCCC CAGGGCTGCTGCAGTAGGCATCAACGCCAGGGTGCAAAATGCCTCAGGGAGCCAAGGCTGAGCCAGGGGAGTGAGAAGGAGCATGTGGAAGTGCGTTTTGGA AGGCAGCTGCGCAGGCTGTCAGCAGGCTCCGGCCGCTTCTATAGACAGCATGACACCAAGGGCAGTGACCTCATTCCACAGGCTGAGTCCAGCCAGCCAGCC AGCATCACCAGCCAGACGATTGACCCTAACGGACCAACCAACCCGTAACGACCCCTCCTACCATAACCAGTAGCCAGCCAGCCCATAACCAGCCAACTTATCT ATAACCAGCCACCTGACCATAGCCAAACAACCAGCCGGCCCACCAGTAGCATTCAGCCCCTCAGCTGGCCCTGAGGGTTTGGAGACAGGTCGAGGGTCATGCC
228 C YAA
TGTCTGTCCAGGAGACAGTCACAGGCCCCCGAAAGCTCTGCCCCACTTGGTGTGTGGGAGAAGAGGCCGGCAGGTGACCGAAGCATCTCTGTTCTGATAACC GGACCCGCCCTGTCTCTGCCAACCCCAGCAGGGACGGCACCCTCTGGGCAGCTCCACATGGCACGTTTGGATTTCAGGTTCGATCCGACCGGGACAAGTTCGT CATCTTCCTCGATGTGAAGCACTTCTCCCCGGAGGACCTCACCGTGAAGGTGCAGGACGACTTTGTGGAGATCCACGGAAAGCACAACGAGCGCCAGGTGAGC CCAGGCACTGAGAGGTGGGAGAGGGGGGCGAGTTGGGCGCGAGGACAAGGGGGTCACGGCGGGCACGACCGGGCCTGCACACCTGCACCATGCCTTCAACCCT GGGAGAGGGACGCTCTCCAGGGGACCCCGAATCAGGCCTGGCTTTTCCCCAAGGGAGGGGCCGTGCCCACCTGAGCACAGCCAGCCCCTCCCGGTGACAGAG
TCACCATTCCCGAGCTAATGTGGCTCAGGGATCCAGGTTAGGGTCCCTTCCCGGGCTGCACCCAGCCGTCGCCAGCTCCATCCCTGTCACCTGGATGCCAGG TGGTCTTAGAAAGAACCCCAGGAAGTGGGAGTGCCCCGGGTGGCCGCCTCCTAGCCAGTGTACATCTTCACATGAACCCTACCTGAGGAAGCCAGTCCCCGAC GGCATAGCTGCATCCGCTTGGAATGCTTTACAGGCATTGACACCTTCGCCTCACAGCAGCACTTTGGAACCAGTGTCCTCATTATTCCAGGGCACGGCTGGG AACAAGGGGGTCCTCAGCCTGCTGGGTCCCACAGCTAGTACCGGGCAGGTGGACGGGAGCTTCTCCCCACAGTCACCCTGATGCCCCGCTCTTGCTCGGCTG AGGCCTCGGATCTCCGTGGTGTTGAGGGAGCCGGGGCACTGGAGCCCTGGTGACCTGCATCTCCTGGCGGAGCCGGGAAGAGCTCATGGACTGTCACAGATG ACAGTGCCCCGCGGGGGCTGGAGAGCAGAGTGGGGCTGGAAGGTGGAACTCTTAGCCAAAGTCTTGGTTTCTTTTGGCCAGGGTCCTCTTTCAATGGCTGGA AAGGTGGTGCTGGGGGGTGAACGCTGACCTCCTCATGTGCTGCCCCTCCCTCGCCTGGGCCCGGTAAAGCCCCCACGTAGCCCCAGCCAGCCTGGAACATGCT TCCTGAGCTCCCAGCTCTTGGTCTTTGCACCCAGTGGAGGAGGAGGTCAGCCCAGGGAGCTGAGTCTGCGGTTTAGGGCGTCCAGGGGACGTGGAAGCATGT GGTCGTCTGGCCACATTAGGTAGGGCTGCAGAGACCTGGGCTAGAGCAGTCCTGCGGGGTCTGGAAGGGGAAGACTGGCTGAGGTGCGGGGCCTGGTCTGGA GATCCTGCGATTTT GGAGT GAAGC CAT GGAGC GGGAAGAGAC AAC C C C C C GC GGGGAAT AGC CC GGC AAGT GGC C AC GAGGC CAGGCT GAGGTC C AGAGAA CAGGGGCATGAATCCATAAATCCCAGGGGGCCTGGCCATGGGATGTGCTGGCTGCACCCGGCCCCTGTGAGAGCCCCCGCAGGCTGGCCCCCTTCTGCAGTC GTGGGGCTGGGGCAGCTTCTCTGGCATGGGGCGAGGCAGCCGCCTGCACAGTGGCCCCCCTGACTGTGCGCCCCCACCCTCTCCAGGACGACCACGGCTACAT TTCCCGTGAGTTCCACCGCCGCTACCGCCTGCCGTCCAACGTGGACCAGTCGGCCCTCTCTTGCTCCCTGTCTGCCGATGGCATGCTGACCTTCTGTGGCCCC AAGATCCAGACTGGCCTGGATGCCACCCACGCCGAGCGAGCCATCCCCGTGTCGCGGGAGGAGAAGCCCACCTCGGCTCCCTCGTCCTAAGCAGGCATTGCCT CGGCTGGCTCCCCTGCAGCCCTGGCCCATCATGGGGGGAGCACCCTGAGGGCGGGGTGTCTGTCTTCCTTTGCTTCCCTTTTTTCCTTTCCACCTTCTCACAT GGAATGAGGGTTTGAGAGAGCAGCCAGGAGAGCTTAGGGTCTCAGGGTGTCCCAGACCCCGACACCGGCCAGTGGCGGAAGTGACCGCACCTCACACTCCTTT AGATAGCAGCCTGGCTCCCCTGGGGTGCAGGCGCCTCAACTCTGCTGAGGGTCCAGAAGGAGGGGGTGACCTCCGGCCAGGTGCCTCCTGACACACCTGCAGC CTCCCTCCGCGGCGGGCCCTGCCCACACCTCCTGGGGCGCGTGAGGCCCGTGGGGCCGGGGCTTCTGTGCACCTGGGCTCTCGCGGCCTCTTCTCTCAGACC TCTTCCTCCAACCCCTCTATGTAGTGCCGCTCTTGGGGACATGGGTCGCCCATGAGAGCGCAGCCCGCGGCAATCAATAAACAGCAGGTGATACAAGCAACCC GCCGTCTGCTGGTGCTGTCTCCATCAGGGGCGCGAGGGGCAGGAGGGCGGCGCCGGGAGGGAGGACAGCGGGGTCTCCTGCTCGCGTTGGACCCGGTGGCCTC GGAACGATGG
TTTTTGTGTTTTTAGTAGAGATGGGATTTCACCATGTTGGCCAGGCTGGTCTCAAACTCCTGGCCTCATGCAATCCTCCTGCCTCAGTAGTAGTAGTTGGGAT TACAGGTGTGAGCTGCCATGCCCAGCTGCAGGTGCGGAAGCTGGGGGCCTCAGAGACTGTGGACTCCTGGCCGGTGAGGAGCGGCATGGGCCGGGAGAGCTG CTCTTCAGCGGGACTGAGGTGGCTGGAGCGTGACCCTTTCCTGAGGGCAAACAGGGAGGGCCTTGGAGCCCGGCGCTCAGGACAGGCCCCTGCTGGCCCGGC
chr21:4
GCCTGAGCTTCCACACTTTTCCAGGGCGTCTCGAGTTCGCCCACAGAGCTGTTGTTTCAGGATAAAAAATGCCCTTGTATTCCACGTTCCAGTTCAGAGGCCC
354500
GTCTGTTCCCAAGAGCGGAGGCGTCAGCCGCATGAGTCCCACCGGAAGCCGGGTTGCCGGGTCCCCGTCCCTGCCCTGCAGACGACGCATTCCGGAGCCCCCT
229 0- TGGGAAGCTGCCTGGCTCTCCCAGGCCTGGCTGCCTTCGCACGAGGGCTCCGAGGCATGCTCATCCTACGTGACTGCCCGAGTGTGCACACGCCTGGCCGTGT
435460 GTGGGCGTGTGCCTGGGGCCCGAGCTCAGGAGCAAGGCCTGCGTGGACCTGTTGTCTGAAACAAGCCAGTAGACAGCTGCGTCAATGCAGGCAAGCTGAACA 00 GGC T GC T T T T T C AGC C T GAC AAC C C C AGGGGC T GAAC AGGAGC T GGGGGAGGAGC AAGGGGC C GT T C C C C T GC C C C AC AGC AC AGC AC AC GAC C C C GC C T T G
AAC C T GGGGC C C GGGGT GAAT C GAGGGT C C T GGAGC AAGAGGGGC T GC T C C AC AGGAGAGC C T GT C C C GC C AC C C C T C AGC C AC C AGAT T C GGGGC T GC T GG CTTGTTCTCAAACCTGCACAGTGAGTGACAGCTGCTGAGACGGAGGTCTCAGGCAGTGCAGGTGAATCAGCAT
chr21:4 TCCTTATTTTTTAGTTCTCAAGCCCTGTAGGGTGTTTTCGGTCGCAGTTGTTTGGGCTGTGGTCCTGACCCTCCTGAGTTCCAGTGGCTCTGTTCAGGAGAGC 360600 TGCCTGGGGCCGGGACTTCTGAAACACACACTGAGCCACAGGCCGGCCCGGCGGCTTGGGTTCACCGCCGCCTCTTTGTGTGTGATGTCCTGGGATAGGCCC
230 0- TGCACGTTCAGATGACACTGTACATATAAATAACTTGTAGCCGAGAACAGGATGGGGCGGGGAGGAGGGGAGGGCAGAACGTACCACAGCAGCAGAAGTCACT
436065 GTGGATGCCTTCGTAAGTTGCATGGAAGGTTTTTAAACCTAGCCCTGCCGAGCAGCCCTCTCCTGGTCCGGGAGAACGATGGGGAGAGAGCTGGCGTTCAGCT 00 TTCATCACTGGAGCCGTTCCTTCTTCCGGCCCCCCGAGGGCCTGTCCATGATCACACTTTGTCTTGTTTCGGGGGTGGCCCCTGTGAC
CAAGCCTGTGGTAGGGACCAGGTCAGAGTAAACAGGAAGACAGCTTTCGGCCAGGCGGTGCACCTCGGTGCCGGTGAGTGTGAGCGTGTGTGCGTGTGCACGT GTGCAGATGTGTGTGGACGCTCCCTTCTCCGCAGCAGCTCCTGACCCCCTGCAGGTGACCCTCAGCCAGCCCCAGGGCTGCCCCCACTCTCCCCTGTGGACAC CTACCTCATTTGGGGTGAAGTGGGGGGACTGGGGTGTGAGGGGTGCTTTGGGGGGCACACTTCGACCCCTCTCTCTGCAGGCCAAGTCCTGAGGCTCAGTTTC CTCCTCTGTGCCCCGGCGACGTGGTGCAGGCCTCGCGAGTGACGTGAGGGTTCATGACCCAGGTGTGGGCAGCCAGCCCTTCACGGGAGGCCACCCACCTGGC
chr21:4 CACAGTGCCTGGGAATTTAGGTCGGGCACTGCCGATATGTCGCCTTCCACAAGGCGGGCCCGGGCCTCTGCTGACCGTGCACCGGTCCTGGGGCTGGGTAATT 364300 CTGCAGCAGCAGCGCAGCCCATGCCGGGGAATTTGCGGGCAGAGGAGACAGTGAGGCCCGCGTTCTGTGCGGGAACTCCCGAGCTCACAGAGCCCAAGACCAC
231 0- ACGGCTGCATCTGCTTGGCTGACTGGGCCAGGCCCACGCGTAGTAACCCGGACGTCTCTCTCTCACAGTCCCCTTGCGTCTGGCCAGGGAGCTGCCAGGCTGC
436443 ACCCCGCGGTGGGGATCGGGAGAGGGGCAGTGTCGCCCATCCCCGGAAGGCTGAGCCTGGTGCAGCCAGGGAGTGAGGGGGCGGGAAGCCGGGGTGCTGCCCT 00 GAGGGTGCCCCGACACGCTCTCCTGGGGCCCTGAGCGGCTGCCACGTGCGTCCAGGGTTCTGGCCACAGGGTGGGCAGGGGCCCTGTGCTCCTCACTGGAGGC
CCCTGAGGCTCTGGAACTGAGACCATCCACCCGCCGGCCCCCTCTCGCCGGCTCCGGCACCCCTGCCTACTGTGACTTCCTGCCCCGGACTCGCTCTGCCAGC TTGGGGCAAACCACTTCCCTCTGGGGTTTTCACTTCCCTCTTTCCCAAGTGGGGAAAGACCACCTGTCCCCGACCCAGAAAGGGCCCCTGCCCGAGGGCAGC GCAGTGCCAGGCTGGCATGTGAGGCTTGGGGCAGGCCCGGCCCCCAGAGGCACAGGGCGATGCTCTGTGGGACGCTGTGTCGTTTCTAAGTACAAGGTCAGG GAGGAGCCCCCTGACCCCGGAGGGGAGGAGAGGCAGGGCAGGAAACCGCCACCATCTCAGCCCA
C21orfl GCCCACTGTGGGTGTGCCCGTGTGTGTGGCTGTGAGGCGTGAGTGCAGGCGTGAAGTGTCTGGGAGTGGGAGCGGGCATGAGTGTGTGCCACGGGCCTGCTGT
232
25 TGGGTCCTTGGAGGCCACGGTTGCCCCTGAAGGGACTGCAAGCTCTTTTTTGATTTGTAGTTATTTGAGAAGTCTATACAGGAAGAAAATTAAACCG
AGCGCCCAGCGCAGGGCCGGGACCCAGAGTGGACTCTACCGTGGGGCTGCCTCAAAGAAATCTCAGCAAACACAGGAAGCCAGCCCACCCGTGCAGCCATGG GCCAGGAAGCCCGCCCTTTACCAAGTCATTTGGGCATTTTTTCTCTGTGCTAACAGCCCAGATGGAGCCATAGCCTCAACCTCTGTGTTCTGATAACACCAA CTGGGACGCCGGAGCCATGCAGGGGACAGTGCCCGGCCTGAGGCTGCAGCCTGGGTCTGGATGCCTTTCTAATTCAGGGCCTCCTCATGGCCTGGTTCCATA ATGGTCAAATGCAGCCTGACAGCGCAGCCTCCTATCAGCGCTGGGCTCCGTACCGCCACACAGCCCACATACCCCGTTCCCCAGGAGACGCCCGCAGGTGGGC
C21orfl AGCGTCACTCCCACCCGCCGAGCACACGCTGTCCCCGTCTCGTGTCCCGAGGAGCCGGAAGCAGCTGCTTCCTCCCAGCCTGAAAGCTGCACCTCGGGCTGC
233
25 CTCGGCTCCCCGAACCCGCCCTCCGCTGCCCTGCAATTCGCCAAGGGAGCTACCCTTCCCATATAAAAATTTCACCTCCATTTCCTTGTAGAGAAGAAACATT
TCTGACAGCAAGGAAGATTCTAATTTGAAAAGCAAGTGATTCATCTCCCGGTGCCAAACAGCAGACGCAGGCGTTACCAGTCTGGGTGGGGCGCCCGAGCTG GGACCTGGGGTCCTCTGGGAGGGGCAAGAAGGCAGCGATGCTGGCCCCCGCCTCCATCTGCCCATCCCATCTGCTTCCACACACCGCCCTGCCGTAGCTGCTT GCAGCCCTTCTCTGTCAGTTTCTCCATCTTTTGGTTTGGTGATAAATGAGAGTTCCCATCGGGTGTGCCACCCTCTGTGTGACGGGGAGCAGAGAAGACCCT CGTCCAAGTCCTCCTGGGGGAAGAGCGAAGATGCTGGGACCAGCCCCAGCTGTCAGGGGGTCTCCAATCCCAG
GGAACGGAGAGCCGCCAGGCCCAAACCTCCCAGAATTTGCGCAGTATTCTCGGCCTAGAGAGCGAGGAGTGGCCTTGGCGAGGTCCCTCTTTGGCTCTTCTG CTTAGCCGGGGTTTTAAACTTGTTATCTGCAAAGCAGAAGGAAAGTCAGCCCCTGATGTAAGTGTCAAGTAAAATAAATCGGATGGGTCCTTTCCTGTTTGGC GAGGAATGCTACACTAAGGGGGACTGCGTTCAAATGGGCAGTCTTTGCTGGAAACCTCGCCTCCGCGCGCCTTCCCTCGCTCGGATTCAGGCGCTTTTACGTT AAGGGTTGAATTTTTGTGTCAACAGGCACCTCGGGAGGTCGCCTAGACAACTGAGCGGAGCAACTGAGATAACCCCCGCTACGTGTGGAGTGACCTAGTCCAT TAACTTGCCCCAGCACGCCCGCTGAGTCCGCAAAATATAGGATGGCCTCGGGTTTTAGATGAACCCAAAGCTAAGATTTCTTCCCTCTCTGGAATTAGCAAGC
234 HSF2BP AGCCCGCCCTGCCCAACTCCCCTGGAAGCGCGCGTGCTCGCCAGGCCTCGGGACGCCTGCGCGGGCGCCCTTGCACTGGCACCAGGGCTCCGGGGTAGGGGC
CACCGATCTGCCCAAGCCTCTGCAGGCACTGGAGGAAGGCGAGCCCTCCACCCGCTCAACAGGCCCCAGTGCCGGCCTTTCCTTCCAGTCTCAACTCCACCC GGGGCCCGGGGGCTCCACAGTTAAAAACTCCACGCCACGGAGATCGCAGGTAAGCTGCTGGCTCAACGAGGTGTGCTAAATGGGATTAAAGATCCTGGACCGT GGCCAGGCGCGGCGGCTCAAGCCTGTAATCCCAGCGATCAGGGAGGCCGCCGCGGGAGGATTGCTTGAGCCCAGGAGTTTGAGACCAGCTTGGGCAACATAGC GAGACACCGTCTCTACAAAAAAATAACAAATAGTGGGGCGTGATGGCGCGCGCCTGTAGTCTCAGCTACTTGGGCGGTCGAGATGGGAGGATCGATCGAGTCT GGGAGGTCGAGGCTGCAGTGAGCCAGGATCACCGCCAAGATCGCGCCACTGCATTCCAGCCTGGGCGACAGAGGGAGACCCTGTCTCAAAAACAAACAAAAA
TCCTAGACCGTTTACAAACAGCCTTCCGTCTCTTCCTGGTCAAGTCCTAACCCTGGCTAACCTCGCCGTCTACAGCCTGAATTTTGGCAACCGAAAGGCAGC CCGGCGCCACGTGCACACGGGCTGGGCCGCTCCGCCAGCTGCCAGGGCCACTGCCGCGCTCACT
CGCACACACAGCACAGACGCCTGCATCTTCCCATGCGTGGTTTCTGCTCTTGCCTCTCTGGGTTTTTGTTTCACTTCGGTCGAGTTTTTGGTGGTGTTGAGC
235 AGPAT3 GATAGCCGGGGAAGTTGGAGTCTTGTTTGTGGCCGCCTCGTGCTCGTGTCTGTATCTAAGATCCTCAGGCTGCTCCTTTTTGGGTAAGGTCTGTTGCTTCTCT
AGGAACAGTGACGGTGGCAGAGCCCGTGGCCCCTCTCTCCTGTCCCAGAGCCAAGCTGTTTCCTCTCCCCACTCCCGGGCACCCTGCGGGCAAG
CACAGCCCAGCTTCAAGCCTGGCCGACCAGGGGTTTGGCATGAAGACCCCGGCAGGGCTGGGGCTGTGCTGGAATCCACCCGGAAGTTTCCTGCCCCTTGGGC TGCCCACCAGGTCCCCTTTCTGCTCTGATCAAGCTGGACAAAACGTCGTGGGGCCACAGCACAGGGGGCCAACGCAAGCTGGGATCGTCAGACGTTAGGAAAT CCCAAGGAAGAAGAGAAAGGGGACACATTCGGGAGACGTCGGCACACGCTCGAAGCAGCGGACAGGCACCTCTCTGTGGACAAGGCAGACTGGGCGGCCGAG
chr21:4
TTCCGCATAGATGCCTGCTTCCTCCACGACCTCCACGTGTGGCTGGCCCAGTCCGGGTCCCCCTCACCTCCTCTGTCTGTCTTGGTGGCCTCACGCCGTGGGC
444650
TGTGATGCCGGCTACGCTGCTTGGGTGGCCAAGGGTCTGAGCTGCAAGACGCCCAGCCTGGGTCTCTCCCGAGCTCTCCCACGTCCTGTCTGCTCCTCCTCC
236 0- AGCTCCCGGTTGACTCTCACGACTGCACCAGCCTCTCCCCCAGGAAGGCGTGGAAACAACCTCCTTCTCCCAGGCCCGCTCTGCCTCCTGCGTTTCAAGGCA
444475
ATCCGTTCCTCCAGGAGATGATGCAACCACATCCTGTTGGAGCCCAGAGAAGTGCGGATGCAGCCCGGGGCTCTTTCTTTCCTAGAACCCTGCCTGGGAGTG
00 CTTCCCTGAACTAAGGACAGAGACTTTGTCTTCGTTGCCTCTCGGCCTGTGGGCACTGAGCATACAGTAGGTGCTCAGTAAATGCTTGCAGGCCGATGCCCA
AGCCATTAGCCCTCATCATGGTGAGCTCGGCAGCCGGTGTTGGGGCTGGGCTGGGCCTAGGTGTGCGTGGGGGCGGTGCTGGTCTGCTTTGCTGGGAGCCAT GACACCGGAGGAACAGGGCCCCATCAGTGCGGTCAGAGTGCAAACTCGGAGCGTCCTTCTCTGGAAAACGAAT
GGGAGGGGGCGTGGCCAGCAGGCAGCTGGGTGGGGCTGAGCCAGGGCGATCCGACCCCGAACCGGAGCTTTTAGCACTTTGAGTCCCTGTACTCAGAGGTCTC CTGCAGCCGGGAATCCCACTGTGCTGTGGTCCCTGGCAGCCAGCACCCACCCCCAGCTTCTCCGTCAAGGTTGAGGACGGAGCACTCCTGCCTCTGATTAACT
237 T PM2 GGACGCAGGAGAAGCAGTTGCTTTAATCCGGAGCCTTGAGTTGGGACAGATAATGAGTCATTCAACCAGATTTTCCAAGGACACACTAACTTTGGTATGATGC
GTGTGTGCCCCTGAATCCACGTGGTCAGGAAAGCCCAGGGAACACTGGCCTGTGACTCACTGAGCAGGTTCCCTTGTTACCCCGAGGGGTGATTTACTCCTCT GACAGTGACACGGACACTGTGCGTCCATTCCCCGGGCGGGCAGAGGACACTCCCAGATGCCCACGAGGGGCCCAGCAAGCACTGGCCA
CTGCAGGACCTGCTCGTTCACAGATGTTCTCCTAGAAGCAGAAGCTGTTTCTTGTTGCAAACAAATTTGCTGTGTCCTGTCTTAGGAGTCTCACCTGAATTT CCAAGGATGCATCTGTGCTTGGGGATGGCTCGGTTTGAGGGGTCTGAGGAGCGGCTCCCCTGGATCCTTTCCTCCCCAGGAGCCCACCTGCCGAGCTGTCAGC
C21orf2 GTCAGCCCCACATCTCAAGATGAGGAAATGGAGGTCGAAGCCATGCACACGCAGGCGTCCTGCTGACATGCAGGCCAGGCGGGTGCCTCTGTATTCAGCAGCC
238
9 TCAGGGCTGTGGCCAGTTCAGGCAGCAGAGGGGCCTCATCCCGGTGCTTCCCTGCAGGCAGTTGTGGGGCCGGCCTGCAGCAGGGGCTCAGACAGGGCCTTG
GAGAGGGAGGGATCACAGAGGTGTCCAGTGACAGGCAGGGCGGGCAGAGCCCATGGGGCCTTGGGCTCCTCACTCCTTCGGTCAGTCAGGGTGACATCTGGA CCACCTCCATTAATGGTGGGTTATGATTTGGTTCCCATGCAGCCCGTGCCAGCTCGCTGGGAGGAGGACGAGGACGCCTGTGATC
AAGAGGAAATTCCCACCTAATAAATTTTGGTCAGACCGGTTGATCTCAAAACCCTGTCTCCTGATAAGATGTTATCAATGACAATGGTGCCCGAAACTTCATT AGCAATTTTAATTTCGCCTTGGAGCTGTGGTCCTGTGATCTCGCCCTGCCTCCACTGGCCTTGTGATATTCTATTACCCTGTTAAGTACTTGCTGTCTGTCAC CCACACCTATTCGCACACTCCTTCCCCTTTTGAAACTCCCTAATAAAAACTTGCTGGTTTTTGCGGCTTGTGGGGCATCACAGATCCTACCAACGTGTGATGT CTCCCCCGGACGCCCAGCTTTAAAATTTCTCTCTTTTGTACTCTGTCCCTTTATTTCTCAAGCCAGTCGATGCTTAGGAAAATAGAAAAGAACCTACGTGATT
C21orf2 ATCGGGGCAGGTCCCCCGATAACCCCCAGCTGCAGATCGAGGCCTAGTGCGAGCACAGGTCCCCCCAGACCCTTCCCAGTGCCCACCAACCGGCGGCCTAGGC
239
9 CAGGTAGAACTGGCAGCGCCTCCCCTGCTGCAACACCAGGCTCTGGTAGAAACTTCAGAAAACATGCACCGGCAAAACCAAGGAAGGGTGGCTGCGTCCCGG
TTCTTCCGCGCAGCTGTGTGTACACGCATGCACACACCCACACGCACACACCCACGTGCACACCCCCATGCACACGCACCCACTTGCACGCCCATGCACGCAC ACACGCGCGTGCACCCATGCGCACGCACCCATGCACACACACGCGCGCACACACCCACGTGCGCACCCACATGTACACACCCACGTGCACACACCCACGCGT CACACCCACGCGCACACACCGCTGTCCCCAGCCGTGCAGAACGATCCTCCCTGAGTCCCCGGCTCCGACCCACACGCAGCACTCGCTAAACGCTTCCCACGC GTCGTTTTGCTGGGTTGCGCTTCACCCACTTCTCAGAGGGGGCGGCCGAGGCAGAGGTGTCGGGGATCGAGCAGCTCCGGGCCTCAGGGGTCGCCCCGCCACC
GTTTTCCTTTCCCAGA GC GGGACGGGGGCAGGGAGGGGCTCCCCAGGC GAACCCGAC AGG CACCC AGAAGCGAGGCGAGCTTCTCTTCTGTTTTTCT CGGCGCCCC GAGCCCC GACAG GCCCAAGC GCCCA GGGA GGA CGCCAGAGCC CC ACGCAGACCCCACCCAGGGCCAAAGCCAACCCCAAGCC CCACCACCTTGGTGGTGTGGGATGAAAAGTGAGCCATCGAGAGATGGGGTCCCCCCACCCCCAACCCCTCCAAGGACAAAGGCGGGCTGGGAAGCACCCGCTT TCACGTCCGCCCCTGCCCGGCTTTCCTAGCGGAATTGGCGCCGGCATCAGTTGGGGGTTGTGGGATCAGTGAGGAATCCCGTGGGGTCGCCTCCATTTATCA TTGTGTGGGGTTGGGCGAGCACCCCTAGCCCCAGCCCAGGCGATCAGGGCGCGAAGCCCACTGGACGCGGATTTGGGATTAGGACGGGGGTGACAGCCAGGA GACCGCACCTGCCCTCCCCACTCCTGCCGCTCCACCCCTGCCCCCACCGCAACACCAAGGTCTCCACCAGGAAGATGGGGGTGGGGAAAGGACGCGGGGTGG GGGGGGTGCGGGGAGAGAGGACACAGGGTCGGAAGGGTGAGGGGTAGTGGCAGAGGCGGAGGCCGAGGCCACGCAGCTGCGGGGCGCAGGGAGGGGCAGAGG GGGGCGTTCAGATGGGAACCTAGTCCAGACCCGTCGGGGCCCTCGTGTGCGGCTCGTTATCCTGGAACCAGAGAGGCTGGAGACCCTTGGCTTGTCTGGAGC GAACCGTAGTGTCCAATAGAGTGTGTGGGGCTCAGCCCTAAAGCTAAACATTCTTTATTTCCTGATGACCATGGGGGCGGAGCGGGGGAAAAGCCCTGGCCTT ATAGTTTAGAATTTTATAAAAGGAAAGGCGTGGCCACTGACAATTTGCGCTTCAGGAGTCCCAGAGTGACCGCCTGGCTCGGAGCAGGGAATGAGGGGGTCCT TAACTCTGAGATTTGTTTTCTGAGAGACAAAGGTGATGGGTGAGGCGGCTAAGCCTCTGATTCTCTATAGGTGGCGGTCATTCATTTCAGAACATGAATGGAT TCAGTAAATAAACATGATAGAAAAATGCCACAAGCCCTAGGCCCATTGGAGTGGACTGGACAGTCTGTTCCCAGTGTGTCCCTCAGCCTCGGTCCCCCACCCT TCCCGGAGCCCTGGGGGTCACACACATCCCTCCTGGCTGCCTAGCCTGTGCCCCCCGATTCCCCCCCTCCCCGCCCCGCGCGTGCACACACACACACACACAC ACACACACACACACACACACCACACAGCACGAGGCGACAGAGATATGAGAGAGAGCGAGCGAGAGAGGACGGGAGAGAGAGGGAGTGCAAGTGTGCGCTGGG GTAACCCGTGCATGCATGCATTGGGGGTAACAGGCTGGAGCTCAGATCCCTCCCCCAGCCCCCAGCAGGGGGGACTGCAGGCTCCTGGTCTGAGTGGGGAGCT GGGCCCCCTGGACAGAGGACTGGGCTGCGGGGTCAGGAATGGGCACACTTCCTAACTGCAGGACACTCTAAGGGCTTTGGTCATGCACACGCAGCCAAGAGA GGTGTCGCTGGCACACAGCCTTCCAGGAGCGGACTTGGAGACCTCGCCAAGGACCAGGACTCCCCAGCACTCACACTCCCTTAGGCGCTGAAGTCCAGAGGAC AGAGGTTGAGGGCAGAGCTCCTGGGAGCACCAGTGGAAGTAGGAGGGCTGGGCTGGAAAACCTCCCCCAACCTCCTATTGCAAAGAGGCTCCAGCCAGCAGCC TCCACACCCCAGTGATCTTTTAAGATGCAAATCTGCGCCATCATTTATTTCCTCAGTGCCTTCTCCAGCTCCTGGGATGCACACTGCCCGTCCCCAGGCCCA AGACCTGACCACCCTCATTCCTCCCTCAGCCCACCCTGGGGTCTCTCCACCAGCTGACAGCCTTCCTGCAGTCCCCTCCCCGAATGCTGCTCCCTGAGGCCCT CCTGGACACCTGCAGGGCAGGCACAGCCCGCGGGACCTCACAGCACTTGCTCCGGGCAGAGCTGCAGTTTGGCCAAGTTGCCAGCTCCGTGTGGGCAGGGGCC CTGGCCTGTGGCTGCCACATCCCGGGTGGGGGCACGGCCTTTCCTGGCGTGGATGCTGAGCAAACGTAGGGGGAAGGGGAGTGAATGAGGAGAGCCAGGTAGC TCAGGGGCTGAGGCCTCACTGAGCAGGGTCCCGCGTGACCGGTCCCCACCGCTGACGGTTCCTGGGGTAACACTCAGGACAGGGAGAGGCAATGGAAAGAGAC GTGGCCGCCCTCGCATCCTGCAGCTCCCGCACTCCCAGCCTCCCAGCCTCCCACCCAGCCCCCCAGAGCCCACCAGTGACCCCGCCCACTGGGTCCTCAGAT GCTCCCACGGGATCTCCTGCCTTGATCTCCTGTCCACATGGAGGTGAAGTGGGTTGCTCTGAATGAGGGGTGCCGAGCCTAGGGCGCAGCCCACTCTCCTGG TCCGCAGCATCACGCAGCCCGGACCACAGGCTCCTTACAAGAATCGGAAGGGTCCCTGCAATCGCCCTTCGCACTGAGGCTTCCTACTGTGTGGTGTAAAAAC ACAGGCTTGTCCTCCCTTGCTGCCCACGGGGCTGGAGCCGCCTGAAAATCCCAGCCCACAACTTCCCCAAAGCCTGGCAGTCACTTGAATAGCCAAATGAGTC CTAGAAAGCGAGAGACGAGAGGGGAATGAGCGCCGAAAATCAAAGCAGGTTCCCCTCCTGACAACTCCAGAGAAGGCGCATGGGCCCCGTGGCAGACCCGAAC CCCCAGCCTCGCGACCGCCTGTGACCTGCGGGTCAACCACCCGCCGCGGCTCCACGCCGTGGGCACAGACTCAGGGAGCAGGATGAGAAAGCTGAGACGGCGC AGCCACGGCCCGGTGCCTTCACGCGCACAGCGACACAGCCCCAGCCAGCGGGGCCCACGCTAAGGCGGAATCCCACAGAAGCCTACAGAGCGAGCGCGCGCCT GTGCTTCCCAAAACGGAATGGAACCAAGGTGACTTCTACAGAACGATCTGAAGCCCTGGCTGGCCCTTATGCTAGTCTCTTGGGAGCGTTCCAAATGCAGCTC AATATTACTTACTTGACTTTTATCTTTCCTCCCTGGTTCGTGGTATTTATAACTGGGTCATCTTTTAACTATTTGCAACGTAGCTTCAGGGGAGAGGGGGAG GCTTTATAAATAACCTGTATTATTATTATGCAGGTTGATTCTGTTCCCTGAGCTAAAGGGAACATGAAAATACATGTCTGTGACTCATGCCCCCCCACCCCC CTCCAGGGTGTGCTGAGGAGTCTCTCAGCTGCCCCGGGGTCCTCGAGCAGGGGAGGGAGAAAGGCTGGCGCTGCGCCCTCCATCGCGTGAAGCCAGGGGATTT TGCTCTGCGACAAGCTGACTTGGCTCTCGTATTGTTTGCAGAATCACCCAGTTCCAAGGCAGTCCCTGCGGGCAGGTGCAGCTGTGCGGGAGCTTCAGTCCT TCCCCAACACCCAGGCAGTAATGGTTCCAGCACGGAAGGTCTACCTACCTCCCACTGCACAGCCCGAGGGCTGTCCTGGAGGCACAGCCATCCGTCCCTGGGT
GGGCAGGCACGTTTATGACCCCCACCCCCACCCCCACCCCCCACGCGAGTCAGCACGTTCCATACTCGGGTGATCGTGCTCATCCCCTGGTCATGTCATCGG A C GAG GCCA CCGAGCAGAGAGC G GGCCCGG GCCGGGGG GGAC CA C A CCAGGGAACCAAGGA GCA GA GCAAACAAAACCAGAAGC GCAAGCCATCTCCTCGCCTCCCCTGATAGCCGTGCTGCGGAGCCTGAGTGCTGGAG
CAGGAACCACGGGACCTGCTGCCTAGCGGCCCTGTTCCACCCTTGGCCGCTCGCAAAATGTTTAGGCTTCATAAGGTTTGCCCAGGGTCACAAATTTAACTC CAGCAAACAATGAAATCAGCGCATGATTTTCGAGCCCTCGTGGTCACCCTCCCTTCCTCCTGCCCTTTCCTGCATGGGCAGCAGCAGGGTGAGGAGCTGCTCT CCCCAGGCCCAGGCTGGAGTCCCTCAGACGACCTGCCGGCCAGGGTACCCCCCTGCCCCCACACAGCGCCTGACAGAGCCCCCCACACTGGGGGAACGTGGG
240 ITGB2
ACCCAAGCAGGGGCAGCGGCCTCACCGGGCAGGCGGCGACCTGCATCATGGCGTCCAGCCCACCCTCGGGTGCATCCAGGTTTCCGGAAATCAGCTGCTTCCC GACCTCGGTCTGAAACTGGTTGGAGTTGTTGGTCAGCTTCAGCACGTGCCTGAAGGCAAACGGGGGCTGGCACTCTTTCTCCTTGTTGGGGCATGGGTTTCGC AGCTTATCAGGGTGCGTGTTCACGAACGGCAGCACGGTCTTGTCCACGAAGGACCCGAAGCCTGCAGGGCACATGGAGGGGCTGG
TGCGTTTAGTGTAAAAATATCAGGTGTGGCTGCACGGAGTGAAAAATCACAGGCTCCACGGAGCCGGGAGGCCTGCTGCCCTGCCCTCTTGCTTTGATGAGG AATGGCGACCGCAGAAGGAAATGTAGCAGCACCGGCAACCGGCATCCGTGGGGCCACGCCGGGCTGCTTCCCAGGGCCCTCCAGCCAAGCAGCCACAGGAAA
241 ITGB2
AGTAGATGTTGATCCCAAGCTAGGACTGAGGAGTCCGTCCCTAAGAGCCGAGGGAGTCAGGTGGGCGAAACTGGCCGCATGTCTGGGTACAACTGCTCAGGGT TTCTCATCTGCTGAATCACCAAGCTAGGTTCTGAAGCCAGGCGTGAGTGAGCAGGACTGGAGCAGGATTCTGGGAACAATCTTTTCCCTCC
GCTGGGGAACTGAAGGAAGGGCTGTGGAGCCTGAAGCCTGGGCCTGGCCTGTGCTGCGGCCGCACCGCTGGGTGATGCAGGAGCCACTCCACCTCCCTGGCAC CCCAGCCTCATCCGGCAACCTGGGAGCGTGGGCCTCCTGCCCCTCCAGGGAGGCCCTGGCCGTGTCCTCATGGGGCCCCTCCAGGTCCTTGTGGCTCCAGGTC GGGACAGTGGCTGTGAGATCTGACCCTCCCGTTCCCCCTCCACCAAGTAGGAGAAACCCCGGAGCATGAGCCCTCGTCCTTCACCGTCCCGGGGACAGGGGG CCCCCAGATGCTGCACGGCTGACAGGCCAACGTGGCAGAAGCTCCAGCTTCACAGGAAGCCAGTGACCATGAGAGTCTGTAGCTGTAACGAAGCCACAGAGCT GTGGCTTTCTTTCCCCTTCAGCTCTAGGAAAGGTTATCTGCCCTGCACAGATCTCCGGAGGCCTGGCTGGGCTCTGAGAGCATCAGACTGATTATCGTAAGA AATAATCTCTGCAGACACATTCCTTGCTAGAAGCAGGGGACAAAGCCCAGCTTCAAAGACAATTCCACACACGCCCTCCCTGCCCTGCACAGCTGCCTGCCG GTGGGAGCAGAGCCCTTGCAGCCGGGCTCAGGGGCCTGGGCAGGGACAGCGTGTGGCAGGGGCACAGCTGAGACAGGAGCCTCAAAGCGACACCAACCCGAC TGAAGCTACAGTTGAGGAGACACAGCTGCCCCCATTCCCGGGCCTCATCTCCACAGTGAGACGCTGGACTCTCTCCCTGACCCACCGTCTCTTAGAACCTCCC CTCCATCCGGAGCAGTTCGGCAGCCCCAGGGCAGCCAGGGGAACCCTGCCGAGTGCCTCTGGGCCGCCACAGACCGCAGAGCCCGCGGGAGCCTTGCTCACAC AGCCTCAGGTCCACTGTGGTCTTGGGGGAAAGCCCTGTCCTGGGACAGGGGAGCCGGGGGTCCTGGCCCTGGACCACCATCTGGGGACCACGTTGTCACGCCT
242 POFUT2
GCAAAGCTCCCTGCCCCACCCCCATGTGCCGGCTGGTGTTGACACCTTTGTAGAGTGGGAACCTGCCTCCGACCCCAGCCTGCAGCCACAGGGCAGGTTATA ACCAGGTGAGAGGGCGCCGCGCCCAGAACCAAGGAGCACAAGTCCGCAGTGCCCATGAGATCCTCATGCTGGCCGGCGCAGGAGCCATCCTCGGCCTCTGCA GTCCTCGTGGGAAACCGCGGGGGCACGTGGGGCGGCTGCAGGGTCCGCAAAGCCGGCTGTTTGCGAAGGGCGCAGCTCCACCTGGAACAGCCGAGGCCGCCC CGCGCTTCCCGCGGGATCAGAGCAGCCTCCACGGCTGTTGTCTCAGGCACCACGGGATGCCTTTCTTCGTTTCAATAGCTGTGGGAAAGCCTCAATCGGTCCT GAAAGAACCCAGATGTGCAGCAATGACAAGGCCTTCTCTGAGACTCTAGAACCTTCTGCCATCTCAGACAGGAGGGAGCCGTGAGGCAGGCGGGAGATTTGC GTCAGCAAAGGACGGGCAGGTGGGGCAGCTGCACACCCAGGGCCCTCTCCACGGTCTTCCCGGGCCCACCCCTCCCGCGGTCCTGGGTCATCCACCTGCTGGC CTCACTCTGCCCACGCGGCCAGGTCCCACCGGCCCCTGAGCTCAACAGACCAAAGCTGGCCCGACCCCACCCCCAAGAAGAATGAAACAATTTTTTTTTACCT CTTGCAGAAAAGTAAAAGATCATTTATTCATTCTGTTTCTAGATAGCAAAACTAAGTGTCAAAAGCACCTTCTGCACACAGTCTGCACACACTGGCCGGTGGT CCTGTTCCCGCAAGGTTGAGCTGTGTTCCAGAGACATGGGTCCTCCGGGTGATGAGGAGCCGCTGGAGGGCCCTGAGCTGCACGTGCTAATGATTAACGCCCC GTCCGTGCTGGCCGGTTTCTCAAATGCCTCCTGACGATTGCGC
chr21:4 GGCCTGAGGAGTCAAACGGTGCAAACCCTGCCCCACTCTGTTTGGGAAGCACCTGCTGTGTGGCAGGCGCTGCGCTTGGTGCTGGGGATAGACCATGGGGAA
243 557150 AAACACACAGAACCTGCCCTGCTCTCAAGGAACAGGCCCTGGGGGCGGCCAGGGGCAGAGACCCAAGGCAGACACCCACACAGTGGCGTAATGACAGTGCTT 0- TGGTGGGGACCTGGCTGCACAGCAGGTCAGCAAGGGGATGTTCAGGTGACACTGGGGGCACGGAGACCCAGGGGAGAGTGGATTGACAGAGGGGACGCTGGGC
455737 AAATGTCCCGAGGCTGAGGTGGAGTTGCGGGAAGGAGGAGGCTGCCGGGCAGAGGCGCAGAGAGCTTTGCAGGTGTTGGCAGAGACCAGCAGGCCCTGCGAG 00 CCTGGGGTGTGTCCTCAGCTGGGAGGGCCATAGAAGGATCTGGGCTTGCAGATGCTGGTGCAGACTGGAGGCCTGGGGTGTGAGAGTCCAGGCGGGGCTCCT
CCAACACCCAGGGGAGTGGGCCTGGGCCAGGTGGACCGGGAGCTGGCACGGTGGTCAGGTGCTTGGAGGCTGCGTGCCACGCTGGGGACCTGGAGGTGTGTG GGAGGTGTCTGTTGCTCCTGGGGCTGCCGCCTGCAGGGCTGGGTGTGCAGCAGTGCGGGGCAATGAAGTGGGCGGGTTCTGGGATGGTGGACGTTCCCTTTGT TGGGAACGTGTTGGTGCCAAGCTGCCATTTGAGTTTGGCTCTGAGGGGTCTGGGCAGGGGACACACAGGGAATCACACAGGATGGAGTGAGTTCCCAGGGACC CAGGGTGGCTTGGCCTGAGAACAGCTCCCACTCCCAGATGTGTGGGAAGCCCTCGGCACCAAGCCTCAGCCTCTCCATCTGTGAAATGGAGACAACGTCACT GACTTGCAGGCTGTCCATGAGGGTGATGCGATCAGAAAGGGTGGAGTTCCTGAACGCCCCGGGGTCGGGGTCTCACAGCAGGAGCTTAGCTGGTGTCGGCATC TCCTGGACCCGTCCTCAGCTCCGAGCGCCCAGTCCTGCCACCTGTGTCCAAGTCTGCACTGTGCCCACGAGGCCCTCAAGGCCGCAGACAGCCCCACACTTCT CGGACGCCGCCCCAGCACGGTCCTTGTGTGAGGTGGACACTCCTTCTGGACGCCGCCCCAGCACGGTCCTTGTGTGAGGTGGACACTCCTTCTGGACGCCGCC CCAGTACGGTCCTTGTGTGAGGTGGACACTCCTTCTAGGGAAGGAGTAGTAACTCTTGGGTGGTCGGGTAGTTGCCATGGAAAGGGGCAGTAATGCCCAGGT TTGCCGTGGCAACCGTAAACTGACATGGCGCACTGGAGGGCGTGCCTCATGGAAAGCTACCTGTGCCCCTGCCCTGTGTTAGCTAGGCCTCAATGTGGTCCA TATCTGAGCACCGCCTCCTGCCTCAGATGTTCCCGTCTGTCACCCCATTACCAGGGCGGCACTTCGGGTCCTTTCCAGCCATCATTGTCCTGGCATTGCCAC GTGGACACTGCCACACAGGCTTGTGTGCTTGCGCGTACCCAGGTCCTCACCTCTCTGGGATAAACCAGGCACGTGGCGGCCGCCCCATTTTCCACCCGCCAGC GGTGGAGGAGTTGCCCAGCCTTGCAGGAAAACAGCTCTCATGCCAGCAGCGGAGCATCCTATTCAAGTTTTCTCAGGGCTGCCAGCACAAATGCTGCATGCC GGCGGCTTCCTCAGCAGACCGTTGTTTCTCTGCGTCCTGGAGGCTGGACGTCCCAGGTCCCCGTGTGGCAGGCCCGGTTCCTCCCGCAGCCTCTCCTTGGCTT GTGGGCGGCGTCTCCTCCCTGGGTCCTCGCAGGGCCACCCCTCCGTGTGTCTGTGTCCTCCCTCCCCTTATAAGGACCCCAGGCAGACTGGATCAGGGCCTGC CCTAAGGACTGAATTTTACCTTAATCACCTCTTTAAAAGCTGTCTCCAAATACAGTCACCTTCTGGGGTCCTGGCTGTTAGGGCTTTGATGCATGGATTTGG GGACACCGCTCAGCCCCTAACAGCCCCCATCCTCTGCCTGCCTTTACCATGGGGCTGAGCCCAGCCCTGCAGGAGTCCCCTGGTTTGATGTCTGCTGTGGCC CGGCGACCCTCAGGCTGCTCCAGCCGCACTTGTGCTT
GGGGAGT C TCCAGGGGCTGGGGCT GGAGC C GC AT C AGAGAGGAAAGGGGT GT T T GAAAAAGGGGC AGGGC C T GGGAC C C AGGAAAC TGTTCTTC C AGAGAC AC C C GT GAAGC T GAGC TTTGCCTCT C AGGGAAGC T GT GAC CCCACGGGTGCTGCC C AGAGAGAT C GGGC C AGGT GGAGC C AAGAT GGAC T GGAAT T C C C C GAC G GGAC AAGGGGC C GGAC GAGGC T GAC T T GC C C T GT C T GAT GAAT GGT C AGGT T T GC T T T T T C T C C T GAAAAC AC GAGGC AGT GAT C C C GGC C AGC T AAT T C C A CAGAC T GGAGAC GGGAT GGT GGAGAAT GAGGC T GT GGGC GGGAAGAGC AGAT GGGAC T C GC C AGC AT CCTCACGGCAGGGCCGCGCTATTGCCCTCCCTCCCC TCCTACTCTCTGGGGTCCCAGGAGCCCCAGATACGCAATGCTGCCAGGCGATTTCTGGCGCCCCGCAGACCCCTGCCCCTGGAGTTGGGCCAGGTCCCGGCT GAGCAAAGGGGGCTCCTTCAAGCCCGCTCCTCCCTGTCAAACCCGAGGAGCCTGACAGGCGCAGCGTCACCAGCGTCACCGGGCCATAGTGAGCGGCCAAGCC
chr21:4
AGCGTCACCGGGCCATAGTGAGCGGCCAAGCCAGCGTCACCGGGCCATAGTGAGCCGCCAAGCCAGCGTCACCGGGCCATAGTGAGCCGCCAAGCCAGTGTC
560900
CCGGGCCATAGTGAGCGGCCAAGCCTTGGTCTGCCAGAGCCGGCCGCACCAGAAGGATTTCTGGGTCCCCAGTCCTGGAGGAGCACACGGTTTACACCAGGCC
244 0- T T GGGAGGGGAAGAGGC AAGGC GT GGGC CCAGCCCTCACTCCC C AGGAGAAAC C C T GT T T GAGCGGC AGAGGAGAC T GGAGAGAC CCCAGGGCGGGGATCCCT
456106 GAGAGGAGAGAAAC C C GGAAT T C AT C C AC GGAGGC GT T C AC C C AGAGGAGAC C C GGAGC T T C T CC AGGAGAGGC TGGATTGCTC C AAC AGGGGC C C T GAGGA 00 CTGATGGCAAGAGCGGAAGGCAGCTCTGACTCGTGCGTCTGACTCCAGGTGTGGCCGTTGGGGCTACAGTGGGACCAGCCTGTTGTCACTGAACCCACAAAGT
GCCTCCGAGCGCGGGTGGAGAGAGGGGGACCTCCCACCGTCTGCTGGCCTTGAATCTTGAATCTAATTCCCGTCTGTGCTTTGATGGGAGAGGCACTGGGAGC GGGCGGCTTTTTCAGTTCCTTTTATCTTGAATGGCCTTTGGGGGATTTTCACAGATTCTGAGTTCAAAGCCCAGGGAGGTGTGGGAACGTGACATTCCTCACC GCATTCCTCACCGCATTCCTCTGTAAACCAGGCGGTGTTGGCACCCATGAGCCTGTGTCTTCTATGACATCAGGAGTTTTATCCCTCACGTCAGAAATCAGG TTCCAGGCGCCTTGGTTTTTCTTGGCGCCAGCGGCTTGGCTATAGAAGAAAAACTGAAGGGGCCAGGTGCGGTGGCTCACACCTGTAATCCCAGCACTTTGG AGGCCAAGGCGGGTGGATCACGAGGTCAGGGGTTCGAGACCAGCCAACATGGCAA
245 COL18A GCTCCTCAGGGGGAGGTTCGGGGCCTTTGGTCTCTGGACTTGGGCAGCAGAAAGGAAACATCCCTGGGGGCCTGTGGTGACCCCCATCCTCCCCAGGGTGGTC
TGGCAGGGGACACTGTTTTCCAAAGCAAAGCCAGAGCGCCAAGGGCTCTCGGGATTCACGAGATCCACATTTATCCCAAGTTAGAACAGCACATCTGTGCGT CAAACTTCATTCTGACTTCGGCCGGCTGTCCTTCTTGCCCAAAGCACCGTGAGGCCTCATCCCTGCATCCCTGTTGCTTCTTTCATGTGGGATGAGAACCCA GAAGGGGCTGAGTGTGACTCCTCTGGTTTTTAGAGAGCACTGCCCCCGCCCCGCCCCCTCCTGCTTCCCCACCTTTTCACAGTTGCCTGGCTGGGGCGTAAGT GAATTGACAGCATTTAGTTTGAGTGACTTTCGAGTTACTTTTTTTCTTTTTTTGAGACAGAGTCTCGCTCTGTCGCCCAGGGTGGACTGCAGTGGTGTAATCT TGGCTCACTGCAACCTCTACCTCCCGGGTTCAAGCGATTCTCACATCTCAGCCTCTGGAGTAGCTGGAATTACAGGCGCCCGCCACCACACCTGGCTAATTTT TGTGTTTTTAGTAGAGATGGGGTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACCTCAGGTGATCCGCCTGCCTTGGCCTCCCAAAGTGCTGGGATT ACAGGTGTGAGCCACCGAGCCTGGCCTGGAGTTATTTTGGGAGAGGGCAGCCCCTGGTTCAGCGTGGCGAGGCTGCGCTTGCTCTCCCGGGCGGGCGTCCAC CCCTCCTCGCCGAGATGGAGAAGCCCAAACCCCTGCAGCGCTCCCCCATCACGTCCGGCCCTGGAAGCCCCCGGAAACCCTGCCACGCCCTGAGTGGGAGAGC GCAGGTCCCTTTCCGGCCCTGGAAGCCCCCAGAAACCCTTGGGTGCCAGGCCTGGCCGGGACAGCAGCGACACTGCATGCTCAGCCCTTGCGTGAGACCACG GAGTGTCCGCCCTCTGCACGTGCTGCTGATTGCCCACTTCGTCCAGCAGGTTTGGGAGCTTGTGGCTGCATCCTCCTGCAGACACTTGCCCATTCTGGGGCCT CCTCTCTGTCTTTTCTCCTCTGTTGAGGGGTCTGGGAGGGAGGCCTTGGAGGGTACCCATGCTGCTGGGACTGATGCTCCCCGCGGTGGAAGGAGCTGCCTCT TGAACAGCAGGGGGCTGAGCAGAGGGGAGGGGATGCGGGGGTGCCGTGCACACAGGTGCTCTCAGGACGCAGGGGCTTCTCAGCCCTGCTGTCCCAGGGCTGC ACTCCAGCAGGGCAGACTCCTGAGGTGCAGACACCCCAGCTTCACGCTCACACTTCTGGAAGGCGATGTCTGTGCGTTTGCTTTCTGCTGCAGTTTAAAAAGC CGGGCTCTCTCCGGAGCGTGTGTAGGGCCTGGTCACTGGAATATCTGGACTCAGTGTTAATGGCAGCCACGCTGGGGGCTGGGCCCAGCTTTCTGTTCTCCGT GTGGGTGCCATATCCACCTCCATCGCAGCCCTTTCTCTCTCGACCTTTTAAATCACAGTGTCACCTCCCCCTGCTGTCCTGCCAGTGGCCCCTGGAGGCTTCT CCCCACCCCTTTCTTCTGGGGCAATTCTTAAGGCTGGCATTGAATCAGGAGGCCAGATGTGGCCCCTAGTAACTCACCAGCAGTCCCTGAGGCTTCTGGCTCC CCTGGCCCACCAGCCTCCCATGTCTGCCTCAGGCCTCTTGACCCGCCTGGCACTGACCAGACTGTGTGCCCGGGTGCCGTGCCCATGGGCTCCGCCTCCCCC GGCAGGCCCCCTCTTGCTCCGCGGCCACCCCTGCTCTTGACCTCACACCTCTGCGGTGTGTCTGGACACACCAGCACCACGGCGGGCGGGGAGCGGAATTCTC CAGGTGGGGTGGGCAGGCCGGCGGGTGTTGAGGTCTCTGTGCATGCTTGTGCGTACCCTGGACTTTGCCGTGAGGGGTGGCCAGTGCTCTGGGTGCCTTTGCC AGACAACTGGTCTGCCGGGCCGAGCATTCATGCTGGTCGCCATCACGTGACTCCCATGCGCCCTGGCCCTGGGGTTGGGTCTGCAGGACTGAGAACCAGCGG AGGGGGGCGAGGCCTCGGGAATGCGCCGGCAACTGGCGATGAGCTCAGGCCTGACTAATGAGCCCAGGTGACTCATACACCCGGGGCCTGGATGAGTCTGACT GGGTCAGGACTTCCCTGCTTGTTCTGTCCTGGGAGATGTTGTCCCTGGCCCTGCAGAGCCGGGAGGACACGAGGCCTCCTGGGTCACAGCCAACGCAGCCTAC TCCTGCCCACTGCTCGCGCCGGCCAAGGCCCGTCGGCACCACCTCCTCCATGAAGCCTTCCTGACTGCCCCCATCCCTCTGTGGGCAGCTCGAGTGTGCATCT TGAGTGCTGTGCAGGTTGGGGTCCGGCGCTCCTGCAGGCAGGCGGCGTCTGGGCCTGGGGGCTCTCAGAGTTTGAGGAGCGTGTGGTGAGGGTGGCCTCGGGC CTCAAAGACGCAGCGCTGTGGGAACCGGGAGACTGGCTGAGCCCGCTCTGAGGAAGGTGGGGCCAGGGGCACCCTCAGCTGACCCGGCGTGCAGGGGTGACC GCCAGGCGTGGCCAAGGATGGGGTCTCTGGGATCAGGAGACTTCAGTAGCAGCCAGGACCGAGGCCACCAGTTTCCACCCTGGCATTTTCCATCTTTTGAAG ACTGGAAACGATTGGATTCTTTAACTTTTTTAAGTTGAGGTGAAATTCACAACGCATAAAATTAACCATCTTAAAGCGAACAATTCGGTGACATTTAGTACA CCAGAAGGCTGTGCAGCCATCACCAC GCCCAACTCTAGAACATTCACACGCCGGAGAGAGGGAGCCCTGGGCCATCACGCAGCCACCGCCCGGCCCCAAGA CCTGCGAGTCCACTTTCCACCTCTGGATCGGCGGTTCTGGACGTTCATGCAGGTGGTTCCCGCAGTGCGAGGCCTTTTGTTTCGGGCTCCTCTCACAAGCCTC ACGTTTCCAGGTACGTCGTGGTGTTGTGCAGACCCACAATTCATCCCTTTTCATGGGTGTGTAATAGTCCACCATAGATTCTCTACGTTTTAAAGCATGTTTT ATGTGCCTGAAATGTCTCTGCACTCGAGACTATAGCTTGCTTTCTTTCTTTTCTTTTTTTTTTTTTAATTTGAGACGGAGTCTTGCTCTGTTTTCAGGCTGG GTGCAGTGGTGCGATCTCGGCTCACTATAACCTCTGCCTCCCAGGTTCAACTGATTCTTTTGCCTCAGCCTCCCGAGTAGCTGGGACTATAGGCGCGCCACCC CACCCGGCCAATTTTTTTGTATTTTTAGTAGAGATGGGGTTTCATCATGTTGGCCAGGATGGTCTCGATCTTCCGACCTTGTGATCTGCCCGCCTCGGCCTCC CAAATTGTTGGGATTACAGGCGTGAGCCACCGCGCCCAGCCGAGACTACAGCTTTCTTTAACTGCATCCCTGGAGGGATCTGAGAGTCTCTTTCCCTGTCTCC TTTCCTTTGGAAAACATTTCAGCCAGGGCTCCCCAAGATGAAAGGCCAGAGTCCCAGGCATGGGCGTTGCAGGTGCACAGTTGCCACGGGGAGCTGTGGGTG TGGTCGCTGTCAGCGATGGCTGCTGCAGGTCCCTGTGAGGAAGGGGCAGTGCCACAGCAGGAGGAGAGGGAGTCAGCGGACGTTGATTGGCAGTGCCCGCCC
TTCCATCATTCAGTCACCCACTGTGCACCCAGCACCCAGGCTCGGCTGCATAGAACATGGCCCAGGAAGGCTCCACTTCCTGTCTCCTCTTCTCCCCTCTCC GTCTCATGATGGGGCTGGAGGCATCTTCTAGTTTTGAGTTCTGAGCTAATGAACATGCTCATGAGCAGGCGGCAGGATCCCAGGACGGTGGAGCTGGGAGCCT GACTGCGGGTGACGGACAGGCTCTGGCAGCCCCTGTCAGCATCCTCTCCAGGGCATGTGAAAGCCAGTGTGTCCTCAGCTGCCAGTGCCCCCTCCCCACCTCC TCTGGGCCCATGTGCACGGGACCTGGGCTCCCCCAACCAAGCCTGCCCGCCTTGGTTCAGCAGAACGGCTCCTGTCTCTACAGCGGTGCCAGGCCAGGAGTGC TGTGTCTGTGAAGCGGGGTCATGGTTTTGGGGCCCTCATCTCCCTCGCGCCCTCTCATTGGGGACCCCCCGTCTCCCTAGCGCCCTCTCGTCCTCTCCTGCAT GTGCTGTGTCTGTGAAGCGGGGTCATGGTTTTGGGGCCCCCCGTCTCCCTAGCGTTCTCTCGCCCTCTCCAGCATGTGAAGTGGGGTCATGGTTTGGGGGCCC CCATCTCCCTAGCGCCCTCTCGTTGGGGACCCCCCGTCTCCCTAGCGCCCTCTCGCCCTCGCCTGCATGTGCTGTGTCCATGAAGTGGGGTCATGGTTTGGG GCCCCCTATCTTTCTAGCACCCTCTCGCCCTCTCCTGTATGTGAAGTGGGGTCATGGTTTGGGGGCCGCCATCTTTCTAGCGCCCTCTCGCCTTCTCCTGAGC GTGTGGAACTCTGTGGTGGTCAGAGCTAAGGTTCTGAATAGGTCGAAGCACCTCCCCGGTGCCTCTCACCCTGAATGCTCTGGGAGGACACAGCCTTTTCAT GGCTACGACTGACATGGCAGGAGGGGCCTGCCTGCCACCCGGGTCCTCTGCTGCCTGCTGCTTGCTGGGGAGGGGGCTCGAGACTGGGATCCTGGGCTTCTGC TCCAGCTGTGCCCAAGGGAGCTGCTGAGGAGGGACCGGGTGGGGCATCCACTCTGGGCAGGTTCAGGGTCATTCTTGGTGACCCCGGGTCCGGTTACAAAGGC TGATGGAGCGCGTGGGTGGCTGCCTAAGTCTCTGGAAGCCCAAGAATGTGGAGATGGCGCGTCTCGGCCCGGGGTCTCGTGGCTGGTCTGGGAGAACTTGCCT TTATTTCTAGGCAGGAGGCTGCACTGCAAGGGAGCGTCAGTGGCCCGGCTGGCTTTCCCCGGCCCTCAGCCCGCACTCGTCCACCAAAGCAAGCTCCTTTGT GGGCTGCCCTGGGAAGCCGGGATCACGAGGCTCTGCCGGCCGTGGTCACCCCATGAGGCAGGGTCAGCTCGGGAGCAAGGCGGATCAGATGGAACAGAACAC TAGACCACCTCGCCCGCCCTTAGTCAGCTGGGCCATTGAAAATCAAGTCCGTAGAAAGACCTAGAAATAAGTCCCGGGGTGCCCTTGCCTGTTGACGGGCGG CCGAGCAGGACTGTTCTCAGGCAGGCACTGGTCTCTTGGCTTCCAGGTGGTTTGTTTGCTGGTTTGAGGCTGGGGGTGACGCTCCTGTGCGGGAGGAGGTCGC ATTCCATTCATAGCGGCTTATCTGGGCTGTCAGGCAGGCCTGGGAGGGAGCCTGCCTCTGTGCTCTCCAAGGGTGGGCGACGGACAGACAGGGTGTCCCACCC CTTCTGGGCCAAGGACAGAGGGTCAGTGTTTGCAGAGACCTGGGGAGGCCCAGGTGACCTCCACCGAGCACCTGCTGTGTGCAGGGCCAGTGCTGGCTGCAG GACAGCGGAGCGTGTGTGGACCCGGCGGCCCAGGGGAGGGGGGCAGGCAGGACCCGGCGGCCCAGGGGAGGGGGGCAGGCAGGACCCGGCGGCCCAGGGGAG TGGGCAGGCAGGACCCGGCGGCCCAGGGGAGGGGGGCAGGCAGGACCCGGCGGCCCAGGGGAGGGGGCAGGCAGGACCCGGCGGCCCAGGGGAGGGGGGCAG CAGGACTCGGCGGCCCAGGGGAGGGGGGCAGGCAGGACCAGGCGGCCCTGGGGGTCAGGGGTGGAGGCCAGGCCTAGACGGCCCACAGGAGGGTGGACTCATT CTGACCGATTCCTGGAAGCCCCCGGAAAGTGGTGATGTTCTGGAGGGCCCAGCAGACCCCAAGGCCCCCAAGACAATCCCAGCTGGCTCTCTGCGGCTCTCG TGTCTGCCATTTGAGACAATTTGGGCACAGGCAGGGCAGGCCGTCGCGGACGGTCTAAGCCGCGCGCATTGGTGGGGGCAGCAGAGCCCCTGCTCTCAGCTCC TCGGGGTACAGCGGGGGTACCAGGCGGGTGAGTGGGTGGGTGGTCACTGCTCCTGCCAAGGGCAGCCCTGGTTTGGTTTGCACTTGCTGCCCTGGTGACGGCT GCTCTCATTCCTGCCCCATTGCTAACAAGGGTGTCATAAGCTACTTTCCCGGCCCACATCCTATTAAGCCCATGGAGACCCTCCCACAGCTGAGCCTGCTGT GGCTGCAGGCCCTGGGCGGTGCCCACCTCGGTCCCCACTGGCCTCCTTCCAGCACTTTAGAGCAGACACAGGTTGGAGATAAGGAAAGTTCCAGAGCACAGAC TGGAACAAGCCCCAGGCCTCTCCCTGCCCCAGCAGGGCCTCCCTGGATTTGGGGGACAGGTGCCCTCATGGGGGGTCCTGAAGGTCAGAGCTGGGGCTGGGGC TGGGCTGGCGGAGGTGGCCTTGGCGGAGGCCACATTCCAGGGTCTCAGTGAGAGTCTGTGGCAGGCAGCCTTGCAGATGCCGCTGAGGGACCCCCCACTTCAT GTTGTGGGTGATGTGGTCCATTGATTGCCTCCAGGTTTAAATCAGGTGGATATTTACCTAGCGGCCTCCTCTCCCTCTGCACAGGGCCTGGAGTGGGATGGAC TGGGGTGCTCAGCTGGAGGCTCTGCAGACACAGCCCCCTGGGCTATGCAGGCCCTGCTGGGAGCCACATTGCCATTTTTCATCACCCACTTTTTGGGTGAGA CCCCCTCGAGTCCTAACATCTGCCGCATCTCAGAGCCTGTGGCTCCAGTCAGAGCATCTGGACCATACTGCTGGGGTCAGAGCGCGGCAGGACAATGGC
TGCCACCACCATCTTCAGGTAGAGCTTCTCTCTCCTCCTTGCTGGGCGGGGCCCCTCCCTGGGGAAGCCTGCAGGACCCAGACAGCCAAGGACTCTCGCCCGC CGCAGCCGCTCCCAGCCAGCAGCTCCAACGCCCTGACGTCCGCCTGCGCACGCCACTTCTGCACCCCCTGGTGATGGGCTCCCTGGGCAAGCACGCGGCCCCC
C0L18A
246 TCCGCCTTCTCCTCTGGGCTCCCGGGCGCACTGTCTCAGGTCGCAGTCACCACTTTAACCAGGGACAGCGGTGCTTGGGTCTCCCACGTGGCTAACTCTGTG
1 GGCCGGGTCTTGCTAATAACTCTGCCCTGCTCGGGGCTGACCCCGAGGCCCCCGCCGGTCGCTGCCTGCCCCTGCCACCCTCCCTGCCAGTCTGCGGCCACCT
GGGCATCTCACGCTTCTGGCTGCCCAACCACCTCCACCACGAGAGCGGCGAGCAGGTGCGGGCCGGGGCACGGGCGTGGGGGGGCCTGCTGCAGACGCACTGC
CACCCCTTCCTCGCCTGGTTCTTCTGCCTGCTGCTGGTCCCCCCATGCGGCAGCGTCCCGCCGCCCGCCCCGCCACCCTGCTGCCAGTTCTGCGAGGCCCTGC AGGATGCGTGTTGGAGCCGCCTGGGCGGGGGCCGGCTGCCCGTCGCCTGTGCCTCGCTCCCGACCCAGGAGGATGGGTACTGTGTGCTCATTGGGCCGGCTGC AGGTAACTGGCCGGCCCCGATCTCCCCACCCTTTCCTTTTTGCCTTGCCAGGTAAGTGTGGGCGGGGCTGACGTGAGCCTGGTACAGGTTCCCCCCACATCG ATCTCTACGTTCAGGGGCCCGTGGCCCTCGGGAGGTGGGAGAGCTGGGAGTGAGGCCTCCTGTGTGGGGAGGAGGCCGGCGTCTGGACAGGAAGAGGGCTGG TGAACCGCAGCCGATGTGTCCAGGTGCCACCTGGGCCTGGAGCTCCCTGAGCATTTTAGCGCATTTAGTCCTCAGCACGGTCCCGAGATACCCTGCCATGCCC CGAGTCACAGAGGGGAAACTGAGGCGTGGGGCAGTGGCGTGACTCACCCCAGGGAGCCGAGATTCCCGCTCAGGTGTGGCTGCATCGACCTTGCTCCGGTCAC TAAGCTGCACGGTTCGATGCGCTTCCTGGGAGCCCCAGCGTGCTCGGGCCAAGGGTGCTGCCGCGTGGGCAGTGCAGAGACCCTACCAGCGTGGGGACCAGG AGGTCTGCAGGGCCCGTCCTGAGAGGGAGCCTTTCATGTCCCCCTCCCCATCCTGAAGCACACAGCCTCCCTGCCACAGTGGGGGCCGCTTCTGGGCCCAGG GACGTTGCCCCATCACCGTGTGGCCTGGCCTTGTTGCTGGCTGGACAGTTGGGGGCAGGAAGAGGAGGGAAAGGGGGACTCTTTAACCTCCTGGGGGCAGGG C AGC C C AGAAAGGAC C C C AGC AGAT CCCTCCTCTGTGTCC GGGAGT AGAC GGGGCCCC
GGGCTCCACAGCGGCCTGTCTCCTCACAGGGTTCAGCCCAGTCTGCTCTCACTCATTTGCTGATTCATTCTTTCATTCAGCCAGTCAATAGTCATGGCCCCTC CTGTGTGCCGGGTGGCCATGGATATTGCCCTGGGTAACACACAGCCTGGCCCTGTGGAGCAGACAGTGGGGACAGCCATGTGGACAGGGTGCAGGTGGATGGC AATGGCAGCTGGGTCAGGAGGGGCTGAGGGCCGTGGGGAAAGGTGCAGAATCAATAGGGGCATCCGGACTGGGGTGCAGGCCTGGGGGCTGGGATTTCTAGG TGGAGGTCACCTCTGAGGGAGACAGAGCAAGGCCCTGGGAGATTAGAAGGTCGAAGGTCGCCGTGTTGAGGTCAGGGGCCCTGAATTGGAGCCGCGGCAAAG AGAGGGCAGGTCAGGGCACGTGGTGAGTGATTGCTGCGGCTTCTGAGCACGGCTGGGTCTGTGGGGCCTGAGCAGAGGTGACCCGCGATCCGGCGCCACGGC GGCAGGACTCCCCACCCTTGCTGCTGCCTACACCCCCAGGGCAGCCCCAGAGTCGGGGGCGCAGCTCCCTGCTTGCCAGTTCAGAGCCCAGCCCCTCTCACCC AGC C C AGAGGAGGAC AC AGAT GGAGGAGGGGC AC C C GGAGGGT C CCCCCGCC GACAGGC CCCACGTCTCCCACCT GCAGGACAAT GAAGT GGC CGCCTTGCA CCCCCCGTGGTGCAGCTGCACGACAGCAACCCCTACCCGCGGCGGGAGCACCCCCACCCCACCGCGCGGCCCTGGCGGGCAGATGACATCCTGGCCAGCCCCC CTCGCCTGCCCGAGCCCCAGCCCTACCCCGGAGCCCCGCACCACAGCTCCTACGTGCACCTGCGGCCGGCGCGACCCACAAGCCCACCCGCCCACAGCCACC
C0L18A CGACTTCCAGCCGGTGGTGAGTGCCCCCCCAAAGTGGGCTTGGCTCCATCTAGCCCCTCGGCTCTCGGCAGCAGAAGAGGGCCCAGCCCCTGCAGAGCTGCT
247
1 GGGGTCCCAGGCTTCGGCCATGGGTGGGGGTCTGGCGGCTCAGGGCCACTCAGGGCGGCTTGGCTGGCCCTGGGACTTGCCCTCTGGTGGCCAAGCAGTGGTC
ATGAAAGTCCAGCCGCTGTCACATCCTTGAGGAACCGGCGTACCTCCGCCTACAGCGGCAGCTGGGGGCACCCACGTGGCCCGGGGCTGCTCTGACCTGGCA CGTATGGGGGCTGCTGCCTGGGCCCCTCAGTGTGTCACTTGCGCGCCTCCCGCTCAGCGCCCCTCGGCCGTGCCTGTCCACACAGGTGCGGGGCCGGGGTGGT GCGCCCGGGGCCTGGGTGCAGGGGGCAGCGTGGGACACAGCCCGTGACGCGCCCCTCTCCCCGCAGCTCCACCTGGTTGCGCTCAACAGCCCCCTGTCAGGC GCATGCGGGGCATCCGCGGGGCCGACTTCCAGTGCTTCCAGCAGGCGCGGGCCGTGGGGCTGGCGGGCACCTTCCGCGCCTTCCTGTCCTCGCGCCTGCAGG CCTGTACAGCATCGTGCGCCGTGCCGACCGCGCAGCCGTGCCCATCGTCAACCTCAAGGTGGGTCAGTCCAGTCCTGAGGGCGCGGGCTCCTCGGCCCCCACT TGACCTCTGGGGTGAACTCCCAGCGGGGAGCTCCCCTCTAGGGCCTCTGGAGGCCACCATGTTACAGACACTGGCGCCTAGGCTGGCGACTTCAGGGCAGGCT CCGGGTGGGTCACACCCCTCCAGGCTCAGGCCAGGCCTCTGCATCCCTGGGCACTGCCACGTCCCCCAGGGCATCCCATGAGGCCCCCCCGTGGCCCCCTGAC CCCCCGCTCCCCCGGCAGTGCCCCTCAGAGGGTCCCATGCTGCTGGACCAAGTGTCCACACAGGTGATAGGGCTCACATACAAGCCTGGAATCAGGAACCGTC CTTTGGGCCTCTAGTGCCATGCGGGCTGGTGGCCCCTCTGCCA
GCCTGGAGTGTAGTCCTGCTGAAGGCCAGAGACCACACACTCCACCCAGACTCCGGATCTCCCTCCCCAGCAGGGGGATGGAGGCCCTGCCGCTGGGAGTGCT
chr21:4
GGTGTTATGTGGAAGGGCTGGGCTTCTCCAGGGCTCCTGGGAGGCCTAAACATCTTGCAAGGTTTTGACGTTAATTACTATTATGATTGCTTTCTGTGTGTT
588500
CTGTTTTCCCCACACTTTAGCCAGCTAATGTGGAGCTACAGAAGGCCCTCGCCCCTACCCCTCCAGATGTCCCAGCCCATGACAAGCAGGAAGGCCGGGTGCT
248 0- GGGAGAC TTCCTGGGGCTGGATCT GAC AT C AT T C C AAGC AGAT GAT AAC CTGCCTTCCCGAT T TC C AAAC C C AC AGC AAGAC AC C C T GGAGT T AT T T AT AAAT
458870 GC GAGC CCCTGGGTGCACTTCT GAC GGGAC C AGC AC C C T GAC GGC CAT GAGAGGGT GGAGAC AGC GC AC C C C GAGC T C AGGGAGGC AGGAAAC T C T GGAC C T 00 GAGGC C GGGC AC C AT GAGGGAC AC GC T GC AGGC C C AGC T GC T GC C GC C T GGGGC GGGGC T GC C C T GC AGGC T C C GGGAAAAC C C AGAAC C AGGC C GGAT C AGC
GTGTGTCAAGAGGCGGGGCGTGAGAGATGAGCTGCTTTTTTTCTTCACAGGGTTGGCAGGAACTGCAAATAATAGAAAGTCTTTAGGGTCTAACACGCTGCCC TGAAAACACTATCATTACTTTCCTAATGACTAACTGTGTCTTTCAGCCGGCGGGGCAGGCAGCTGAGGCCGCAGGCTCCCGCAGAGGACCGGGGGAGGCTGGC AGCCTGTAATCTGGGGGCGCTGACAGTGCTCTGCCCAGACCCTCGCGCCAGCTCCAGCTCCAGCACAGCAGCCCTGGGTCCCTCTGGCCCCCTGCCCGCAGA TCCAGGTGTGGCAGAGGCCGCCCAGTATCCCTTCTCCTCCTCCTTTTCTAAAAACAGAGTCTCACGATGTTTCCCATGCGGGTCTCCAACGCCTGGGCTCAA CGATCCTTCTGCCTCGGCCTCCCAAAGCGTTGGGATTAAGGGGCGAGCCACCGCGCCCGGCCCACCTTCCCTTCTGGTTCATTTCCAGTAAGGTCCTGTCCAC AGCGTCCTTCCCAGCATTCCCACCAGGCTGCAGGCCTTGGCCTCCCTCCCCTCCATTCTCATTCTCCCCGAAACCGCCAAGCGCGTCCAAAGCACGGGTTCGC CAAGCGCCCCCCCCGCCCCACTCCACATTCCCTTCCCCGCCGACTCAGCCTCCGTAGCTCGCGGACGGCCCCTCCTCACGCCAGCCCAGGCTTTTTTTTTTTT TTTTTCTTCTATTTTAAGGTTGTCTTTTAATGACACAAGCGACATTTGGAGACAAAAGGACACATCTCTTCCTGACCCACCTCCAACCCCAGCTGACGGCCGC CCTGAGCCTGGCGTAGACGGCCCGGAACGTTCCCTGCGTGGGTTCCGTCCATCCCGAACCCCTGTCCCCGCGCCGGCTCCGGGGGTGCTCGGGGGGCCGCGT GGGTCTGTGACGTCGCCTCGAGGCTGCATCCCGGTGACCCGGCAGCCCCTGGCGCTCGCGGGAGGCGGGCGGGCGCGGACCCCAGGCTTTAGGGCGCGATTCC TGCAGCTGGCTGCCGGCCCGAGGTTCTGGGGTGTCTGAGGTCTCGGGCGGGGCGAGGACGTTTCTCCGGCTCAGCCCCCCCACCTCCTGCCCTGCCGCCCCCC ACACCCAGCTCCCCACGGACGCCAAGAGGCGCCTCCCACCCCGGCGAGGACCCGCGGGGAAACGGGGCCCAGGCGCGGCGACTGCGGAGGACGCGCCTCGGCC CCAGCGCCCTGGTCCTCGGGGCGTCCGGCTGCCCTTGCCCGAGGCCGGGGCGGGCGCTCAGCGCCGCGGAAGAAACGCCCGGGCGGGGACGCACAGCGAGGC GGCTCCGCGGGAAGTACCGGGAAAACGGCGCGGAGCGGAACAG
TGGAGCAATCCCAGAGAGGCTGAGGTGTTCAGGCTGGCCCCAGATGCACACGAGCGTGAAGCCTGTTCAGAAGCCAGCTCCTCACACCCTCTCCCCTGCCAG GGCTCCAGCACCCCCTCCCCTCTCCTCTCCCCTCCCTTCCCTGTGGTCCTCCTGCCCACCCCACCCCCGTCTGCATGTGCACCGTCACGGAGATGCGTGTACT AGGGCGGAGGTCGGGGACAGTCGTCAGAAGGACACAGGAAAGAAGGGAACAGGAATCCCATAACAGAACATTATCCGGCAGGAGTAATTAACACAGGCAGGAC TGGAGGCTTTGTTTTGTTTTGCTTAAAAAACAGTGGTATTTAAATTAATGGGCATGGGAAGACTATTCAGTGAAAGACATCGGTCATTGAGGTATCTATTCA AAACACGGTTTAGTACTCTGCCACACACCGAACGCAACGCCACAGCAGCCATAGAAGCGTGTGTGGCTGTTTAACGTGGTCTTTTTGGGGAGGGCATCCTAG CAGAGCAGGCGTGGAAGGGAAGGCGGCGGACGGAACAAAACGCGGGCACGCAACGGCTGCTGCGCCGGATCTGAGGCAGGGCCAGCCTGTGGGAGCAGCAAC TCGCTCGCAGGACAGCGATGGAGCCCCCACGAATCCGCGTGAAAGCAGCAACCACCTAGAAATGAACGTACAGCTGCTTAGAAACAGAATACGGATGACCCG AAGACTTCCCGATGGTAGTCACCAGCATACAGGACCTGACACGGGCGTGCGGGCAGGGTGTGCCGCTACGGGGTCCCTGGCGCACCTGCTACCCCTGCTACCC GCATTCACCGCACGCGGAGGGTGCGGGCCGTGAAGGTTATACATGCAAATATCCTTCCACCAGCCAGTTCTCCTTCCAGGAATCTGCCACCCGACCCTTGTGT TGTGCACAGACATGGTCCAGGTGTTTGCGACGTGATTGTTTATCAGAGAGAGAGAAGGGAAATCTCCAGGCTCGCTGTAGCTGCAGGAGCTCTGGGGGCTGC CCCATCGTGGAGACGGATAGCTGTCTCTCATGAACACAGGACAGCAAGTCCGGCTGCGGCCACAGAAGACTCGCCCTCCTGGACGCAGCGTCTTCCTTCCTC
249 PCBP3
GCCCCACACTGGAGGTGGCCAGTGCCATCCACAGCAGAAGGGGCCAGCCGGGACCAGGCTCACGCCGTGGAATTCTGCTCTGTGGTAAGAGGAAGAGCGATA CTGGAACCCAGCGCCGTCGCACACACAGCGGGGAAGAGTCTCAGAAATGTTACTTTGAGTCAAAAAGCTGGACAAAAAAAGGCGCAAGCCAGATGGTGCTGA GAGGCCACAGGAGGCTGGCAGCCAGGGGGTCTGGCACCTCACTCGGAGGCGCAGTGGGCCCGTCCGGAATTAGTGGCCATACGGCAAGTGCCGAGTGGACATC AAACCGTCACTTCAGACTCCTGCGCTTCACTGCCTGTCGGTTATGCCTGGGTTTTGAAATCAAGTCACAGAACACCTGGAATGTGGTGTTTACGCAGAACAA GCGGGTGCCTCGGAGGAGAGAGCCTAGGGACAGGGGCACCTCCCGGTGTGGGTGCCCAGGGTTGCAGGGTGGCTTCCTCTGTCTGCGCGGTTTTCAGAGCCCC AGGGTCCTGCCTGCCCGGCTGCCTGGAGGCGGCCCACATCCTGCTCTGCGCCGCCGAATCTCAGCCTGAACAGCTTCGCTGGTGTTTGTGTTGACTTATTTGT TCTTTTTTTTTTTTTTTTTTTTTAAATAAAGGATTCCGATGCTGTTACAGTCAATAAAAGCCACAGGTCTGGGTGACCTACAAATGTGTGTGTCTGACTTTCT GCAGTTTAAATCGCCACTGAGCCTTAAGGCGTCTGGCCCGCGCATTGAGGAATCCACGTGGGTCTCGGGGTCCCCATGCCTGCCCAGCTCCCTGCTTCAGCCT GGGCGGGTCTGGCGGGCATTTCTGCGAGCCTGTCCCTGGGCCCGCCTCCTGGCCAGACTTCCAGAAACATTGTCCACATCCCCGTTGCACGTCCCCCCGTCAC CGGAAACTGCAGCCCACAGCACTGGGAAGAACCCGGGAGGCAGGCGTTAGGACGGGGTGGCCGAGACAGGGAAGGGAGCCATGGCGGACGTCCTCACCCAAGC CAGGGCTTCCTGCCCCTGTGGTACTGACAGGAGCCCCGCAGGACGTGGGGTTGGCTTTGGGCAGCTCGGTGGACACTTCTCTTTCAGATCCTGCCACAGCAA
GCTCACGAGACTCACTTCTTCCCATTGGAATTCACTAAGAACAAATTCAACAATTCAGACGCCCCAGCTGGAGGTTTATTTTATGGATTTTACCTGTGCGGT TTTAGGGTTGTGTTTATGAATAAAGGTGTGCGTTCTGGCAAGTAGAAATACAGAGCTTGTCTTTCACCCAAGTATCTGTAACTTTCTCCAATGCAGACACTA AATGCAATAAAAACAAACCAAACCCATTAAACATGAATTAGATGAGGCAGGCTGATGGGAGGTTGTGGGATTAACAGGCCGTCAGCGGATTGAAGCTGCGCAC ATCGCTGGGATGCTGCTGCGGGAGGATTCGGTCTAATCCGGGAGCATCTGGCTGGGCAGTGGGCAGCGTCTGCAGTCGTGGCTGCTTGAAGGTATGAAGGTT TGGCCTTTGCTTCCCCCCATCAGGCTGCCCCACCCTGGACCCCACCCAGACCCCTCGGGCACCCTGGGGTCATCTTCAGCTCCCCCTTCTCTTCCTTCCTTCT CTTCCGCCTGGGCCCCTACTGTGACCCGAGGTCAGCAGAGGACCCTGGCAGGTGGCTGCTCCCTGGGACTCGACTGTGCAGGTGAGGCTTGGGGTGACCGCT CTCCTGCTCCTGCTCCTCTCGCCGTCCCCACCCTCCTCCATCATGCTGTCAACATGCATGTGGGCTGCAGCCCTCAGCCTGCAGGACGCTGTCAGTGCAGCTC CTCAGTGGCCAGG
ATCTTGTCTTCCTTGTCCCAGTCCTGGAACCAGCCACTGCCCCAGCAGCTCCTGTGTGTGGTGGCATGTTCTGGAAGCCAGGATGCATGGTGCTCCTGGGCT CTGTGGGTCCTGGGCTGCTGTGGGTCCCGAGCTGCTGTGGGTCCTGGGCTGCACCCCTGCAGAACACTTCCTTCCATGTTCAGCTCCCTATATGGAACCCCA TTCCAGCCCCACAGCACAGGGTCCCCCAGTTCTTCCTGCCTCAGGTGTGCACCACGAGGAATCCAACTGCCAGTATCTGTGCGTGGCCTCCCGCCGGGAGGA GCTGCCGGAGGCTCTGAGCTCTAGCCCCACAGCACTGGCACATCCTAGATTTCCGGGAAGACACGGCCTCCTCCCCAGGGGAAGGTGGTGGTGCCCACACCC GAGCATTCATTCCTGCAGTGGAGACAGAGGGACCTGCCTCTCCAACTGTGGGTGTCAGGAGCCAAGGCGCATGGTAAATGGGGCTCTCTGTGAGGCCAGGTGC ACGGCCCCATCTCCAGCAGCAGCGGCCATGCCACCCAGCTGCACTCTGTGGGGGAGGTGCCATGATTGACGGGGGCCCCTCCCTGTGTCCAGTGTCCTCCTCC CTCCACGGGCCCCTCTGCACACCGTCCTCACAGTCTCCCTCTGCACACCGTCCTCACAGCCTCCCTCTGCACACCATCCTCATGGTCTCCCTCTGCACACCGT CCTCACAGCCTCCCTCTGCACACCGTCCTCACAGCCTCCCTCTGCACACCGTCCTCACAGCCTCCCTCTGCACACCATCCTCATGGTCTCCCTCTCCTTCCAC AGACCCCTCTGCTCGCCATCCTGACGGCCTCCCTCTCCCTCCACGGACCCCTCTACACACTGTCCTCCCAGCCTCCCTCTACACGCCATCCTCACAGCCTCCC TCTCCCTCCACGGGCCCCTCTACACACCGTCCTCACGGCCTCCCTCTCCCTCCACGGGCCCCTCTGCACACCGTCCTCACAGCCTCCCTCTCCCTCCACGGGC CCCTCTGCACGCCGTCCTCACGGCCTCCCTCTGCCTCCACGGGCCCCTCTGCACGCCGTCCTCACGGCCTCCCTCTGCCTCCACGGGCCCCTCTGCATGCCGT CCTCACGGCCTCCCTCTCTCTCCACGGGCCCCTCTGCACGCCGTCCTCACGGCCTCCCTCTCTCTCCACGGGCCCCTCTGCACGCCGTCCTCACAGCCTTCCT
250 PCBP3 CTTTTTCCACAGACCCCTCTGCACGCCGTCCTCACGGCCTCCCTCTCCCTCCACGGGCCCCTCTGCATGCCGTCCTCACAGCCTCACCGACGTCACCATTGCT
GGCCCCGCTTCAGGTGACAGGCCACAGTAGCACCTGTCAGCTCTGTCCCGCTGCTGGACAGGGAGATACTGGGCCACTCAGCCCAGCGGGGAACGTGTGTCCC GAAACTGCCTTGGGCTCGCCATCAGAACTGTGGCAGCATCTTCCAGCGTTCCTTTTAACAGGCTGCCGTTGGAATAGGAGTCACGGAGCAATTGCAGTGCTA GTTTTCTTTAAGTCACACAATTGAAGGAGGCTTTATTTTTCACACATTTCTTCCAGAGTTTCCTGGTAGCCTGAGTGCATGGGTGATGCCCCCTGAGTTATTT ATCAGGGGCAGCCAGCTGCCCTCCCCCGGGGCACTTACAGTCAGCCCATCTCTGTCCTGGTCAGGTGGGCGCCAAGGAAGACCCGGCTCAGGGCCTCTGTAT GGCAGCCTGGCTTGTACACACACCCCTCCCCACCAGCAGATTCTGAATTCTCCCTTCTTCATGCACACCGGGAAGGTCCCTTCTGCACTCATACCGGGAAGGT AGGCAGGTTTCGGTAGTGTCTGCCTCCAGTGTTTTCCTCCTCCTGCTCTATGACATCATCTTTCTGTGATTTTTTTTTTCTTGCAGGAAGTTGGAAGCATCAT CGGGAAGGTAATTATTGATTGAATCTCTGCCTCTCCTGGGGTCTCTGTAAGGGGATGGTGAGGATGGCAGCCTCCCTGGGTACTAGGTGGCACCCAGTAGGT CGCCTTTCCCAGTTGGTGGGTGGTCTGTGTTCCATGAAGACAGGACCCCAGAGGTGTCGCCTTTATGCTGTATGACATTGAAGCTGGTCCCTGGCTCTGCGT GCCTGAGGGGAAGGGGTTCACTCCAGCTGGTCACCTCGCTGCCCCCTGCCCGTGGCCTTGGTGGCCAGTCCTTCTTTCCCGGTTGAAGACCCCACGAAGAAT ATTTCTCACGCCTTCTTCAGCCGGCTGTGTAGTCTGGGTGGTCTCCAGGAGTGCCAGTGGAGGCAGCAGCCCCCAGACAATTCCTTTCCAAATCAGGGCTGGC CCGGGGGAAGTAAGGCCCAGTTTGGAAGCCTGCTGCCCCGGGAGGCCGAGCAGTGAGGGCCACCTCCCTGTCTTCATCACATTTTCACCGCTTCCGGGGGTCC TTCCCCTCAGTCCCACCATGGGGGCGCC
GCTGGACACCTCTGAGAGCGTGGCCCTGAGGCTGAAGCCCTACGGGGCCCTCGTGGACAAAGTCAAGTCCTTCACCAAGCGCTTCATCGACAACCTGAGGGAC
251 COL6A1 AGGTAGGAGGGACGCCCCGTGACCTTCCTCCTGTGCTTCTGGGCCTCTTGGAGGGAGGGGTGGGGGCCCAGGGGAACACGGGTGCGACGGCCTCAACCTCCT
AGGTTGGGCGAGCGTTGCCCTGACCGGGGCCCCTCCCGGCGCCCTCCAGAGTGAGGCCGGGGCCCTTTCCGGCGCCCTCCAGAGTGAGCTGGTCTGAGCCTCT
CCCAGCGCCTTCCAGAGTGAGCTGGTTTGAGACCCTGCTCGCGGGGGTGGCACCTGTTCAGCAGGGCCGAGGTGACAGTGAGGCTGAGATGTAGGGAAGAGA GCTCCCGCAGGCTGACCGAGAGGGCTCAGCGCACTGGCCCAGACACGCAGTCCTGCCTGGTGCGCGGGAGCCCCTCACTAACCACCTGGACCCTGGTTTGTTC CGTGGGCAGTGAGAGCCTCTACCTGGGTCCTGGATCCCACGTTCTGAAGGTCCCCGACTCGGGAGCCAGGAGGGGTGTCGCTCTGCAGCCCCAGGGCCCCCA GCTTGGTTCTGGGCTTGGGACACGGCACCCTCTGCTCCACGTTCCTCCATCTGTGCGTGTGGCTGAGGACAGACCGGGGGGAGAGGGGAGTCGGTCCTGTGG TGCACAGGGCCGCTGAGGGGGGGGCATGTAGAACGGGGCTCCCCCACTGAGACGGGTCCTGGCAGTGGGGACACAGCTTAGCCGGCGTAGGAACCCCCGTCCT CCTTGACCCTGCTGACTGGCCGCTGGGCCGGAGCCTCCCGCCACCAGAAGGGGCACAGTCAGAGGCTGCCGGTAACAGCAGGGTGGACCTTCCAGCCCACACC GTGCCCAGCAGGAGCCATTGGTACCAGGAACCCTGAGCTTAGTGGACATGGCCAGGCCCGTGCGGCAGTGTTTGGGGGGGGGTCTGGCTGTGGATGGCACCG GGAGGGGCGGCCGCGTGGCCCAGCGTCCCCCGAGTCGCCCTTGTTGCCTTTACTCAGTCTCCCCATGACTCAGTTTCCCACCTGTGAAATGGGGCGGAGTCAT CCCCATGTCGCTGCCACTGGATTCCTGCAGGCGCCGTGGTCACTCTGCTGAATGGATGGGAGGGTGGGTGGGGCAGAGGTGGGCCCACCCCAGGCTGGGGCA AGCAGACCCCTGAGAGCCTCAGGCTCAGGTGCTCAGAGGGCAGCGAGGGGGCTGCTCAGATCCCCGGGGTGCCTCCTTCCCCCACTGTCATGCTGCCCCACT CAGGCCCAAGGACCCCACCCCAGCAGGGCCACACACTCAGGGCTCCTGGTCTGAGGGCCTGAGGGATCGGGGCGCAGGTCGCTTGCTGGCCACACCCGCCTGC ACAGCCTTCCAGGAGGGCCGGCCTCAGGGCCACAGGGCAAGTCCAGCTGTGTGTCAGCCACGGCCAGGGTGGGGCAGCCTGTCCATCTGGGTGACGTCGCGCC CTGGGACGGGTAGCGATGGCGCCAGGGGCCGCCCGCCTCACGCCCGCCGTGCCTGTTCCTGGCAGGTACTACCGCTGTGACCGAAACCTGGTGTGGAACGCA GCGCGCTGCACTACAGTGACGAGGTGGAGATCATCCAAGGCCTCACGCGCATGCCTGGCGGCCGCGACGCACTCAAAAGCAGCGTGGACGCGGTCAAGTACTT TGGGAAGGGCACCTACACCGACTGCGCTATCAAGAAGGGGCTGGAGCAGCTCCTCGTGGGGTGAGTGGCCCCCAGCCTCCTGCCCACGCCAGTTCTCACGCGT GGTACCCAGCCTGGGCTGGGGTTGGCCTGGGGTCCCTGTGCGGCTTCAGCTGCAGCCTCCCTGTTCTCTTGGAGGCTGCACGGCCTCCCTGACCCACTTTGT GGCAGGAAAGAGACGGAGACAGACAGAGACAGAGAGAAACAGAAACAGGGAGAAACAGACACAGAGAGAGACAGAGACAGAGAGAGATAGAGACAGAGACAG GAGAGACAGAGACAAAGAGTGACAGAGGGACCAAGACAGGCAGACAGAGACAAACAGAGACAGAGACAGAGACACAGAGAGAGACACAGAGAGACAGAGACG GAACAGAGACAGGCAGACAGAGACAGAGAGAGACAGAGACAGAAACAGAGACAGAGGGACAGAGACAGGCAGAGAGAGACAGAGAGACAGAGACAGAGACAG CAAACAGAGACAGAGAGACAGAAACAGGGACAGAGACAGAAAGAGAGAGAGACAGAGGGAAACAGAGAGAGACAGAGACAGATAGAAAAAGACAGAGGCAGA AGAAGCAGAGACAGAGAAACAAAGACAGTCAGAGACAGACAGAGACAGAGACAGAAACAGAGACAGAGAGACAGAGACAGAGGGGCAGAGACAGGCAGACAG GAGACAGAGACAGAGACAGCGAAACAGAGACAGAAACATACAGAGACAGAGAGACAGAGAGAAGCAGAGACAGACAGAGGCAGAGAGACAGAGAGAAGCAGA ACAGGGACAGAGACAGAGACAGAAATAGAGAGATAGAGACAGAGGGACAGAGACAGAGAGATAGAGACAGAGAGGGAGACAGAGAGATAGAAGCAGAGAGAG GAGACAAAGACAGAGGCAGAGAGACAGAGAGAGAAGCACAGACAGAGACAGACAGAGAGACAGGGACAGACAGAGACAGAGAGACCGGAAACAGAGGCAGAG GACTGAGAGACTGAGAGAGACGGGGTGGTTTTCCCCACAGCATCAACACCAAGCAGGGCTAGGATCACTGAAACAGACTCATCAGACCCGAAGCATGCGCTTT CTCGGGGTTTTTCTGGACTGAGGGGTTTCCTCTCATCCCAGTGTCCAGCTGTGGGGACGCAGGGGCCGCAAGCCCCGGAGTGTCCAGAGGGGAACGTGGCCTC CCCACACCCAGCCCTTCACGAGGCCTCAGGATCCCAGTGGGGGTACCCGAGGCTGCCCTGTCCAGCCAGGCGGTGCGGGGGGTTTGGGGAGAGCCTCTCCCC AGGTCGGTCTCAGAGGGCCACATGGCCGGTGTGGGCCGGACATTCCCTTTCCAATGGTTGTGCCCACTTCCCTCCAGAGTTGGTGCCAAGCTGGGACCTGGG GACTTGGAGTCTCAGGAAGTCGTCCGCTGTCTGCAGGGGGTGCATGGGGGATGTGGCCACACACGTCAGAGTGCGGCCCCCTGTGGAAGCCACAGACAGACAC GACTCCCCTAAATGAGCTCGCCCTTCTGGCCGAGATGCTCAGCGTCCCCAGCAGGCTGCCCGACTGCCCTGCGATACTGCCCTCCTTCCTGCTGCTCCCACTT TCCCTTTCGGGGGGTTGGATTTGGGGCATTCAGGGATCGCCCTGTTGTTTGCTCATCACACCCATTTCCTGCAAGAGCCACGGTGACCGAGCAGCCTTGAGTT GAGGCAGCTTGTGGGTAGACGCGGCGGGCATCTCGGAGGGGCACGCTCCCTGCCACCCTCAGCCTCCACTCACTGGTCAGGGGCTTTGCGCCCCAGGGCACCC CAGGAACCGAGCCTCCTTTGGGGTCATGGGTGCCTCTCCTGGGAGGGCGTGGATTTTCCAAAGCAGTTTAGAGAAATGAGACCCACAGGCGTTATTTCCCAT GTGAGGTTCTTTTCAGTAACCCCCACCGTATAGCCAGGATCAGCAAAGAGAGGCGGCTCCTCCCGGTGAGACAGGGACCAGCACCTCCCGGACAGGCTTGGGT CTCCCTCCAGTTCCCCCACCTAGTCTCGAGGTCTCACGCTGCCCTCTCCTGTCCAGGGGCTCCCACCTGAAGGAGAATAAGTACCTGATTGTGGTGACCGAC GGCACCCCCTGGAGGGCTACAAGGAACCCTGTGGGGGGCTGGAGGATGCTGTGAACGAGGCCAAGCACCTGGGCGTCAAAGTCTTCTCGGTGGCCATCACACC
CGACCACCTGGTAGGCACCGGCCCCCCCCGGCAGATGCCCCCAACCACAGGGAGTGGCGGCTGCAAGGCCCCCGGCAGCTGGGACCGTCTTTTGGTCCTCGG AGGGTGTGGGTTCTCCAGCCGGCCACCCTTGCCCCTGAGAGGCCAGCCCCTCCTGCTGAGGAGCCTGGAGCGCCCCAGCCCAGCCTCCCCTCTGGCCCTGTG GAAGCGGCCCCGGCCGTCAGGGGTCCCAGCCCTGCTCAGCCCACCCTGAACACTGCCCCCAGGAGCCGCGTCTGAGCATCATCGCCACGGACCACACGTACC GCGCAACTTCACGGCGGCTGACTGGGGCCAGAGCCGCGACGCAGAGGAGGCCA CAGCCAGACCA CGACACCATCGTGGACATGATCGTGAGGCCCCTGCCC AGGAGACGGGGAGGCCCGCGGCGGCCGCAGGTGGAAAGTAATTCTGCGTTTCCATTTCTCTTTCCAGAAAAATAACGTGGAGCAAGTGGTAAGAGCCCTCCCC ACCACCCCCAGCCGTGAGTCTGCACACGTCCACCCACACGTCCACCTGTGTGTTCAGGACGCATGTCCCTATGCATATCCGCCCATGTGCCCGGGACACATGT CCCCTGCGTGTCTGCCCGTGTGCCCGGGATGTGTGTCCCCCTGCGTGTCCACCTGTGTGTCTGCCCATGTGCCTGGGACATGTGTCCGCCTGTGCGTCCATCC GTGTGTCCGTCTGCCCATGTGCCTGGGTCGCATGTCACCCTGTGTCCCAGCCGTATGTCCGTGGCTTTCCCACTGACTCGTCTCCATGCTTTCCCCCCACAGT GCTGCTCCTTCGAATGCCAGGTGAGTGTGCCCCCCGACCCCTGACCCCGCGCCCTGCACCCTGGGAACCTGAGTCTGGGGTCCTGGCTGACCGTCCCCTCTGC CTTGCAGCCTGCAAGAGGACCTCCGGGGCTCCGGGGCGACCCCGGCTTTGAGGTGAGTGGTGACTCCTGCTCCTCCCATGTGTTGTGGGGCCTGGGAGTGGG GTGGCAGGACCAAAGCCTCCTGGGCACCCAAGTCCACCATGAGGATCCAGAGGGGACGGCGGGGGTCCAGATGGAGGGGACGGCGGGGGTCCAGATGGAGGG ACGGCGGGAGTCCAGATGGAGGGGATGGCGGGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGATGGCGGGGT CCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGTCGGGGCTCCAGATGGAGGGGACGGCGGGAGTCCAGATGG GGGGACGGCGGGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGTCGGGGCTCCAGATGGAGGGGACGGC GGAGTCCAGATGGAGGGGACGGCGTGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGTCGGGGCTCCAGATGGAGGGGACGGCGGGGGTCCA ATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGAC GGCGGGGTCCAGATGGAGGGGACGGCGGGAGTCCAGATGGAGGGGACGGCGTGGTCCAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGACGTCGGGGCTC CAGATGGAGGGGACGGCGGGGTCCAGATGGAGGGGATGTCGGGGTCCAGATGGAAGGGACGGCGGGGTCCAGCAGGCAGGCTCCGGCCGTGCAGGGTGTGGAC TGTCCCGGGGGCGCTGGGGGCTTCTGAGGGTGTCTCTGTCCGCCCTGCCCTCAGCCGCACTCTGTTCAGAAGGACCTTTCTGGAGGTAGGAGGGTGAGAATGT GGGTCCCCTGCTTCTGTGTGGCTCAC
GGCCGGGGAGGCGGGGAGGCTGCCCCAAGAGTAAAAGCCTTTCTGACGTGCGCAGGACGCGGCCCTGACTGGTCTAACTGACTCTTTCTCTTCTCCTCAGCTT GCTGTGGTGAGACCCAGGCTCTAGCTCCTGAGAGAATGGATCCCGGGGGTCGGGGAGCGAGGCCTGGGTCCCACACATGTCACAGGACAGCACATGGCACTCT GGTCCCCGCCCGCAGCTCCCTGCACCTGCCCGCCCCCTCTGGGGCCTGCTCCAAGCCAGCAGGGTTCCCGGGTGTTGGGCTGGGCCCCGCCCTCTTTCACCC TAACTGAAATAACCAGGAGCAGGCTTGGGGGGGTCCCTGCTCCATCATTCTGGCCCACAGGCCCCACCCTAGCCTGGCTGAGCAACGCCAGCCCTGACCAGCC GCCGGACAGAGCAGCCTTTACGGGGCCATGGGAGGGGGTGGGCTTTTCTGGGGCTGAGACGGGGGGACCCCAACGTGTCAGGTGAGGATGTGGCAGCCAAGG GGGGCCAGGGCGGTGGAGGGGAGGGGCCAGGGCACTGGAGGGGAGGGGCGTGCTCTGCTGACACCGCCCCCGCCTGCAGAATGCAAGTGCGGCCCCATCGACC TCCTGTTCGTGCTGGACAGCTCAGAGAGCATTGGCCTGCAGAACTTCGAGATTGCCAAGGACTTCGTCGTCAAGGTCATCGACCGGCTGAGCCGGGACGAGCT GGTCAAGGTGAGGCCTCGCCCCGCCCGGCTTTCTCAAGCCCAGGTGCACCCCGACCCTGCCGGCCGCCCCTGCCCGCGCCAGACCTCAGCCTCCCGAGGCCAC
252 C0L6A1
CGCTGCATCCCTGTGACTTCCCTACTCATGACAAGGATGCCAGGCACGCGCCAGCCCGTCCAGGCCTCCAGCTCCACCTGGCGAGGCTGGCCCATTGTACAC GGCGCCCCAGATGAGGGAGGGTCTCCCCCTCTCCTTGAAGGGCGGTAGTCTGGGGTCCTGAGTGCTGGGTGTGGGCTTGTCCCTCGTGGACAGAACCCAGGA GGCTTCATCCACCAAGGAAGATTGCTTTGCAGGGTACCCAGGTCCCGGGGGCTGTGCCACCCTCTGGGCACCCGGAGCCAATCGCAGGGTACCCAGGTCCCG GGGCTGTGCCACCCTCTGTGCACCCAGAGCCAATCGCAGGGGACCCAGGTCCTGAGGTCCTGGGGGCCATGCCACCCTCTGGGCACCCGCAGCCAATAGAGTC ACCCTTGGGAAGCTTATGCGGACCTGGGGCAGCACTCGCGTCCTGACCCCGGTGCCGGTCCCACAGTTCGAGCCAGGGCAGTCGTACGCGGGTGTGGTGCAGT ACAGCCACAGCCAGATGCAGGAGCACGTGAGCCTGCGCAGCCCCAGCATCCGGAACGTGCAGGAGCTCAAGGAGTGAGTGCCCCACGCGGCCAGGACCCTCCC ACCCCTCGCCCCGACCGCTGTTCCCACGGCAGGTCGGCCCTGACCCCTGATCCCAGGTGGGCTCGGCCCCGCGGCAGGCCTGGCCCCAACCGGCCCTTCCTGC CCTTTGCTATGCAGAGCCATCAAGAGCCTGCAGTGGATGGCGGGCGGCACCTTCACGGGGGAGGCCCTGCAGTACACGCGGGACCAGCTGCTGCCGCCCAGCC
CGAACAACCGCATCGCCCTGGTCATCACTGACGGGCGCTCAGACACTCAGAGGGACACCACACCGCTCAACGTGCTCTGCAGCCCCGGCATCCAGGTGGGGT GCCACCCCCAGGCTGCACCTGCCCCGCCTAGGGCGCCCCGCCAGCCAGGGTGGCCTTGTCCCCAGAAAGACGAGGGCAGAGCAGGCTGCGCCACACCGATACT GTCTGTCCCCACAGGTGGTCTCCGTGGGCATCAAAGACGTGTTTGACTTCATCCCAGGCTCAGACCAGCTCAATGTCATTTCTTGCCAAGGCCTGGCACCATC CCAGGGCCGGCCCGGCCTCTCGCTGGTCAAGGAGAACTATGCAGAGCTGCTGGAGGATGCCTTCCTGAAGAATGTCACCGCCCAGATCTGCATAGGTGCGCAT GGGGCCACCCGGGCAGTCCCAGATCTGCGTAGGTGCGCGCGGGGCCGCCCGGGCAGTCCCAGATCTGCGTAGGTGCACGCGGGGCCGCCCGGGCAGTCCCAG TCTGCGTAGGTGCACGCGGGGCCGCCCAGGGCCGTCCCAGATCTGTGTAGGTGCGCGCAGGCGCCCAGGGCTGTCCCAGAGGCCTCCTCCCAGCTCACTGTT CCTCCAGGGGCACGGCCACCCTGTAGGTGCGCACGGGGCCGCCTGGGGCTGTCCCACAGGCATCCTCCTCCCGGCTCGCTGTGACTTCCGGGGGCACGGCCAC CCCTGTGCTCGGCCGGGAGGTCCTGTGACATCTCCTTGCGGGGTTATAGGTGGAGCAGTGGGCTCACACTGCACGGCTTTTCTCTTTTACAGACAAGAAGTGT CCAGATTACACCTGCCCCAGTGAGTACCTCGGCGGCCGGGACACGTGGGGAGGAGGGCACCGTGGTTGGGGCGAGGGCTCTGAGAGGACGGGGCTCTGGGAG AGGGCCTGGCGGTCACGAGAGTAGGTGCATGGCTCACTCCGGTGGCTGAGCACCACCGTGCCGTGCCCTCTCTGGGGAGCTTAGACGCTCTCTGGCCGGCCC CTGCGGCTGCATCACCAGGGCCTCATGCTAACGGCTGCCCACCCCGCCCCGCAGTCACGTTCTCCTCCCCGGCTGACATCACCATCCTGCTGGACGGCTCCGC CAGCGTGGGCAGCCACAACTTTGACACCACCAAGCGCTTCGCCAAGCGCCTGGCCGAGCGCTTCCTCACAGCGGGCAGGACGGACCCCGCCCACGACGTGCG GTGGCGGTGGTGCAGTACAGCGGCACGGGCCAGCAGCGCCCAGAGCGGGCGTCGCTGCAGTTCCTGCAGAACTACACGGCCCTGGCCAGTGCCGTCGATGCC TGGACTTTATCAACGACGCCACCGACGTCAACGATGCCCTGGGCTATGTGACCCGCTTCTACCGCGAGGCCTCGTCCGGCGCTGCCAAGAAGAGGCTGCTGCT CTTCTCAGATGGCAACTCGCAGGGCGCCACGCCCGCTGCCATCGAGAAGGCCGTGCAGGAAGCCCAGCGGGCAGGCATCGAGATCTTCGTGGTGGTCGTGGGC CGCCAGGTGAATGAGCCCCACATCCGCGTCCTGGTCACCGGCAAGACGGCCGAGTACGACGTGGCCTACGGCGAGAGCCACCTGTTCCGTGTCCCCAGCTACC AGGCCCTGCTCCGCGGTGTCTTCCACCAGACAGTCTCCAGGAAGGTGGCGCTGGGCTAGCCCACCCTGCACGCCGGCACCAAACCCTGTCCTCCCACCCCTCC CCAC CATCAC AAACAGAG AAAATGTGATGCGAATTTTCCCGACCAACCTGATTCGCTAGATTTTTTTTAAGGAAAAGCTTGGAAAGCCAGGACACAACGC TGCTGCCTGCTTTGTGCAGGGTCCTCCGGGGCTCAGCCCTGAGTTGGCATCACCTGCGCAGGGCCCTCTGGGGCTCAGCCCTGAGCTAGTGTCACCTGCACA GGCCCTCTGAGGCTCAGCCCTGAGCTGGCGTCACCTGTGCAGGGCCCTCTGGGGCTCAGCCCTGAGCTGGCCTCACCTGGGTTCCCCACCCCGGGCTCTCCT CCCTGCCCTCCTGCCCGCCCTCCCTCCTGCCTGCGCAGCTCCTTCCCTAGGCACCTCTGTGCTGCATCCCACCAGCCTGAGCAAGACGCCCTCTCGGGGCCT TGCCGCACTAGCCTCCCTCTCCTCTGTCCCCATAGCTGGTTTTTCCCACCAATCCTCACCTAACAGTTACTTTACAATTAAACTCAAAGCAAGCTCTTCTCCT CAGCTTGGGGCAGCCATTGGCCTCTGTCTCGTTTTGGGAAACCAAGGTCAGGAGGCCGTTGCAGACATAAATCTCGGCGACTCGGCCCCGTCTCCTGAGGGTC CTGCTGGTGACCGGCCTGGACCTTGGCCCTACAGCCCTGGAGGCCGCTGCTGACCAGCACTGACCCCGACCTCAGAGAGTACTCGCAGGGGCGCTGGCTGCAC TCAAGACCCTCGAGATTAACGGTGCTAACCCCGTCTGCTCCTCCCTCCCGCAGAGACTGGGGCCTGGACTGGACATGAGAGCCCCTTGGTGCCACAGAGGGCT GTGTCTTACTAGAAACAACGCAAACCTCTCCTTCCTCAGAATAGTGATGTGTTCGACGTTTTATCAAAGGCCCCCTTTCTATGTTCATGTTAGTTTTGCTCCT TCTGTGTTTTTTTCTGAACCATATCCATGTTGCTGACTTTTCCAAATAAAGGTTTTCACTCCTCTCCCTGTGGTTATCTTCCCCACAAAGTAAAATCCTGCC TGTGCCCCAAAGGAGCAGTCACAGGAGGTTGGGGGGCGTGTGCGTGCGTGCTCACTCCCAACCCCCATCACCACCAGTCCCAGGCCAGAACCAGGGCTGCCCT TGGCTACAGCTGTCCATCCATGCCCCTTATCTGCGTCTGCGTCGGTGACATGGAGACCATGCTGCACCTGTGGACAGAGAGGAGCTGAGAAGGCAACACCCT GGCTTTGGGGTCGGGAGCAGATCAGGCCTCAGTGGGCTGGGGCCGGCCACATCCACCGAGGTCAACCACAGAGGCCGGCCACAGGTTCTAGGCTTGGTACTG AATACCCCTGGGAGCTCGGAAGGGGAGTTGAGATACTGCAGGGCCCATAGGAAGAAGTCTTGGGAGGCTCCACCTTTGGGGCAGAGGAAGAAGTCTTGGGAG CTCCACCTTTGGGGCAGAGCAAGAAGAGGGCGGAGGGCAGAGGCAGCGAGGGCTCATCCTCAAAAGAAAGAAGTTAGTGGCCCCTGAATCCCAGAATCCGGG TGCACGGCTGTTCTGGGGGCCGCTAGGGGACTAAGAGGATCGGCCGAGGGCTGGGCTGGAGGAGGGCAGCAGGGATGGGCGGCGAGGGTGAGGGTGGGGCTTC CTGAAGGCCTTCACCTGCGGGGACCCCGGCGAGCCCCTCAGGTGCCACAGGCAGGGACACGCCTCGCTCGATGCGTCACACCATGTGGCCACCAGAGCTGCG GAAAATGCTGGGGACCCTGCATTTCCGTTTCAGGTGGCGAACAAGCGCCCCTCACAGAACTGCAGGTAGAGACGGGCCCGGGGCAGACGCAGTGAGGCGGTG GCGGGGCCCGGGGCAGATGCAGTGAGGCGGTGGGCGGGGCCCGGGGCAGAGGCAGCGAGCGGTGGGCGGGGCCCGGGGCAGACGCAGTGAGGCGGTGGGCGG
GCCCGGGGCAGAGGCAGCGGGTGGTGGCCGGGGCCCGGGGCAGACGCAGTGAGGCGGTGGGCGGGGCCCGGGGTAGTCGCAGTAGGTGGTGGGCGGGGCCCG GGCAGACGCAGTGAGGTGGTGGGCGGGGCCCGGGGCAGACGCAGTGAGGCGGTGGGAGGGGCCCGGGGCAGACGCAGTGAGGCGGTGGGCGGGGCCCGGGTC GAGGCAACGGGTGGTGGGCGGGGCCCGGGGCAGACGCAGTGAGGCGGTGGGCGGGGCCCGGGGCAGATGCAGTGAGGCGGTGGGCGGGGCCCGGGGCAGATGC AGTGAGGCGGTGGGAGGGGCCCGGGGCAGACGCAGTGAGGCGGTGGGCGGGGCCCGGGGCAGACGCAGTGAGGCGGTGGGCGGGGCCCGGGGCAGACGCAGT AGGCAGTTGCCAGCCTCTCTCAGCTGCCTCATGGGATTCGCACTGCAGCTGCGGCCCTGGCGCGACAAGGGCTGGACTTGGCCAGCGGGACGGTCCCTCACG CGCTGAGGCCCACACTCTGCGTGGAGCCTCCCCGTGCCCAGGCTACCCTGCAAGGTCCTCGGAGAGGCTTCCTCCAGCCCCAGCCCCCACACAGCTCCGGCCC AGGCCCGCTCTTCCCCATCCCAGTTGCTTTGCGCTGTATACGGCCAGGTGACCCCGAGCCGGCCCTGAGCCCTCGTCCCGGCTTCCTCCCCTGTAAGCTGGGT GAAGGACTCCATGGCACCCACCTGAGAGGGTTGTGGCGAGGCCCAGGCCCCTCGTGCCCACACGGCCGGCGGCCCATGCCTGGCAGGGGCTGGGAGGAGGCT GGGCGACCAGAGGGGAGCGGCCTGTCCTGGAGGAGGCCCAGGGACCCTGGTGAGAGGGTCTCTCCCAAGTGCTCTCTATGGGACCCCCTTCCTCTGCGCCCGT CCTTCACGGACCTCTCCGGGTCACCCCTGGGCTGCACACTGGGTTCAGGGGGGCCTTGAGGTGGGGCCCCTGTTCCCAAGTCCCGGCGGGGTTTCTCCTGAAC CTCAACCCATCCTCACCTGCGGGCATTCCCATCCCCCAACGCCTGGGTCACCAGGATTCCAGGCAGGAGGGGCGGTGGGGGTTACCAAGGCCCGGGTTGCCAT GCAGAACCCCCAGCCACCACGCAGACCCCCACGGGGCCCAGGGAAGCTCCTGGTCTCACACTGCACCTCACACTTCCTGTGGGGGCAGACTCCAAGGTCCCG CCTCTCATCTTGTAGAAACTGAGGCACAGGAGGGACACACACTCCCACGGCCGGTCACCGTGGCCCCCACACCTCCCACTGGACTGACACCTGGCCAGGCTCC GGACACCCGTGGCACAGCCTCAGCCCCTGCGGCCCCTGCTCCGTGGCCCCCAGGCCCCAGCTCCCATGTGCACGTCCTGCCTCAGGCCTGGAGGCCCCTCGGC CCCAAATAATCAGACAATTCAACAGCAAAACTACTTTTTTCAGGCTGGCAGGACTCTGGGCAACCCCCTGCAACAGCCCCCTGCCCTATCACAGCCACCCTT CCTCCCAGGCACGGAGACCCCACCATCAGGTCCCAGCCTTGGTTCATCCCCAAGCACCCTGTGTGTTGGGATGGCGATGCTGGCTGAGCCCCTGCATCC
AGGGCGTTTGGGAACACCCCTCCCGGAGGGGTGAGGCGGCCCAGCCTGCGGCTGCCAGAGGACACAGGTTCTGCTGCGGAACCTGCAGACATGGCCATAACA GCCACAGTGCTCGGGCCCACACAGCCTGGACCCACATGGCCCTGTGTCACCTCCTCAGGGGCAGGCTTCAGGGCCTCGACCCTAGAGGCTGCCCCTCGGTTCT GCTCCATGGACGGCGCAGGCAGGCCCAGGCCTGTGACGAGTTCACGGAAGCTCCAGGATGACCCCCGCTCTGCGCCCTCCTCCAGCATTCCAGACCACAAACC AC C GGGC AAAAC GAGGC A C GC C AGAGC A C C C AC C C C GGAAAGC GC GG C GGGGAC GC G C GGC C C GAAGAGGC C CAGA GGC C C CA C AGGCCTCTCCGCCTACGTGCGGCC GAC AT GGAGT GAC AGAGC GT C GGGGAC AC AGAAT T C AGAGC TGGGCCTGGGGCTGCTTT GAGAT AC TGATGGCTGCCA GGGGCACAGAGACCCGTCCTGCAGACAGGGCTGTGAGGGCCACAGGGGGCCTCGGGGAGAGGCAGTGGGAGGGAGGACAGTGGGGGCCTCCAGCTGGGTGAGC AGCTGGAGCGAGGGGGGCCCGGGGCTTGTGATGGTGCTGCCGACCCTAGAGGTGCCGGCCCCACGATGGAGAGCACGTAGTGCCCCCCGGGAGTCAGGAGGCC GGGCCTGACCTCGGGGGCTGCAGCCAGGGGAGGCCGGCACCCCAGATAACCCCCAAAGAACTGCAGGCCCTGAGGCGAGGCCAGAGTGGGGGCGGGGGCAGGT
chr21:4
C C C AGC C GAGGAGGT GC T C C GT GC T GC C T C AGC AGAAC C C AT GAT GGGC T GGC C C AAGGC T C T GAAGGT GGAAAGGC C T C AC AC AT T C T GC C C C GGC T GAC GC
628050
CTTCCTTGGGCCAGTGCTCGGGGGTGTGTAACAAACGCCAAGACGCATTGTAAAGAAGGAAGCCTGCGTTTCCATCACCGGCTTAATATCAAACAAAAGTGC
253 0- ATTTTGAAAATGTAGTCCAAGGTTTTCTGTGGTGCGGAAATGGCCAGGCCAGACCTCCGTGGGTGGTCCTTCGTGTCCACGTCAGCGCCCTACATCCACACT
462830 TGGGCACCATGACCTCACATGCGGAGCGGAGCAGGGCCGGCGCCCGGAGAGCCAGGCTGGTCACGAACGAGGCCTAGAGGGCGTCAGGCCCCAAAGCACTCAC 00 AGGCTTCTCCTCTGTCCTCGGGGCCTTCAGACACCTGCATGCGCCGATTCAGCCACCCGCGCGCGCCGATTCCCCTGGCCATGGGGTTTCCAAAGTGTGTGCT
CAGAGGACAGTTTCCTCCAGGATGACCTGTCAGTGGCTCTCTGTGCCGGGGACGTCGCGTGCTGGGTCCCGGTCTGAATGCTTCCTAACGATTTACCCAGTTC CTTTTCTCCACTCAGGAGGCGTTTGCTGAGAGGCACAGGCTGAGCCCCCGTGCTGATGCCACGACCGAGGGAACGGGTCTCCCTGTCGGCGTGAACTGACCC GCCAGGCGTCCACTGCCACTCGGACTGTCTCCCAGGCACGTGGCGCCCACACGGGCAGAACACGCCCTCCACACACGCGGCTTCGGGCAGAACACGAGGCGCC CTCCACACACGCGGCTTCGGGGCTTGTCATGAAAAAAGCTGAATGCTGGGGGTGCAGCTTTCACCAACAGAATCCCGTTTGGAAGGGACGCGGTGAGACATG TCCACCCTAAGTTGTGATCCTGGGTGAGCCGCCGTCCACACCCTGCTGAGGGTCCCTTCACCCACTTTATTCTCCAGAAAACCCTGCCCATCAGGGCTGAGTC CCACGCCTTCCCTCTCCGTCCAGGCCTGGCTTTGACCTCTGGGGTCGTGTGGGGCACAGGGGACACCCTATCCAGGCAGAGGCCCTACGGCTATCTGGAGGA GTGGTGGGAGCTGGGCTTCTGCCTGGAGGATGCACCCAGAGGGGTCACAGTCCACACAGAGACACACGGGTGCCTTCCAGATGGCTGAGCCAGTCCAGCCCA
AAGGGCCTGGGGGTTGGGGGCTGCACCTGGCCTGTCCCCACCAGCAGGGCTCAGGGCTTCCCAAGGTGTGTGGGGGACGGGGCAGCACCTCTCAACCAGGTC CCTGAAACCCGAACTGAAAGGCATCCTAAGTTAAGACATTAACTCCCATTGTCAAGGTGCCATCGTCAATTCTGTCTCCAAATCCTTCTTTGTTATTTCATGT ATTCACAGAGTGACGCTCCGTGTTTCGTTCAGCCTGCAGGCCTGCAGAAGCTGCATCTCGGGATGGCCAAGAGCCCGGCCAGGCCCCACGGCTGCACCCAGG CGGGATTCATGCCCCATGCCTGGCTTCTCACGACCACAGAGTGCCTTTCCCGGGACTGGA GGAGGCAGAG GAGAGAAGAGCC GGAGCAAG GTTT GGAC CACAGTGATCAAACACGGAGCCCGTGGG
AAGAAAGGCCAGACCGGGCACGGTGGCTCACGCCTGTAATCCCAACACTTGGGGAGGCCGAGGCGGGCAGATCACCTGAGGTCAGGAGTTCGAGACCAGCCT GCCAACAGGGTGAAACCCCGTCTCTACTAAAAATACAAAAAAAAATTAGCCGGGCGTGGTGGCAGGCACCTGTAATCCCAGCTAATCGGGAGGCTGAGGCAG AGAAAATCACTTGAACCTGGGAGGCGGAGGCTGCAGTGAGCTGAGATCGCGCCACTGCACTCCAGCCTGGGTGAGGGAGCGAGACTGTCTCAAAAAAAAAAA
254 COL6A2 AAAAAAAAAAAAAAAGGAAAGAAAGGCCCGGTGAGATGCTTTCTCTTAAACACGGCCCTGCACGTTGAGTTGCTGCCTCCTGTGGCCTATTTCACGTTTATGC
AAAGTCGGGCGCCTGATGCGGGGCTCACCCGCCACAAGCAGGGGTCCTGGTGCTGCTCATGGAAGGGGCCCTACCCAGCCCGCGGGGCACTGGCTGGGACGG GCTGCCCAGGTCCGCCCAGGATCCAAACACCCAGCCCCGCCCAGCGGCCCTTCCTGGCCTGCAGTGGAGGCTGTAATGGGCAGGGGTGGTGGGAATCCCAGCT CACAGGGCGCCTGCTCTTAGAAGGGCGGCATCTGGGTCCAGAGGTCAGAAACGTCAGATGCCCATCCCAGAAGTGGCGGGGA
GGGTGAATGAGTAGATGTATGGGTGAGTAGGTGGGTAGGTGGGTAGATGGATGGGTGGGTGGGCGAGTGTGTGGTTAGATGATGGATGGCTGAATGGATGAGT GGGGGGATGGATGGGTGAGTGGGTGTATGTATGGATGGGTTAGTGGGTGGGTGGATGAATGGATGGGTGCATAAAGGATGGATGGATGAATGAGTTAGTGGGT TGGCAGATGGATGGATGGGTGAGTCAGTGGATAGATGGATGGGTGGGTGGATAGAGGATGGATGGTTGGGTAGGTGATGGGTGGATGAGTGGATAGATGGGT TGTGAGTGAGTGGGGGGATGGGTAGGTGGGTGGATGGATGGTTAGGTGAATGAGTGGATGGACAGACGGACAGTGGGTGGATGGATGAGTGAACGGATGGACC GATGGATGAATGGGTGGGTGGGTAGAGGATGGACGGACAGGTGAGTGGGTGGGTGGATGGATAGATGGGTAAGTGAGTGGATAGATAGATGGGTGGGTGGAC GAGGATGGGTGGATGAATGGATGGGTTAGTGGGTGGCTGGGTGGATGGATGATGGATGGGTGACTGGGTGGATGGATGGATGGGTTAGTGGGTGGCTGGGTG ATAGATGGATGGGTGATTGGGCGAATGGGCGAATGGGTGGATGGGTGGGCGTGGAGTTGGTGGGTACATGATAATGGGGTGGAATACCCATGGATTGGAATG GCTGTTTTGGCTGCTATTTCTGGGACACCCAGCTCTGCCAGGCCCCTACCCCTCTGGTGGGCCAGGCTCTGACGGTGGCCACTCATGGCCTTTCTAGCTCTG TGCCAGCATAGGGAAGGAGGAGGCACAGCCTTGTCTTACTCCTTGCACCTGTTAGCCCCCCCCCCCGCCAAGGGAGGACCCGTGGTTGGGGACAGCACAGGG GCCCTGCTGTGTGCAGGGACTGTCCCTGGGGCCACTGAAGCCCACCTGTTCTTGTTCCTTCTCAGGCGGATCCTGGTCCCCCTGGTGAGCCAGGCCCTCGGG GCCAAGAGGAGTCCCAGGACCCGAGGTAGGTTGGTGGCCAGTCCCCATGCCCTCCCCCCAACCTGCCAGGCCAACACACACCCAAGCCTCGTGGTTCTGCCC CGGTGGACCCACGTATCAGTGGGCAGTGGCCTGGGAGAGACTCAGCCACCCAGCCTTGGCCCCAGAGTCTCAGCCTCATCCTTCCTTCCCCAGGGTGAGCCC
255 COL6A2
GCCCCCCTGGAGACCCCGGTCTCACGGTAGGTGTCACATGGGGCAGAACCAGTGTCCTTCTCCTGCCAAAACTAGACACCAAGAGCAGCAGGGGTGGGGGAA GTCAGCTGGCACGGTCAGAGAGCAAGATCAGTGGAGGAGGTCAGAGGGCAAGGTCAGAGAGCAAGCTTGGTTGGGGAAGGTCACAGGGCAAGGTTGGTGGGG GAGGAGGGTGGCAGCGAGGTTGGTAGGGACAGGACCCGCCAGCCTCCCCGCATGGCTGCCTCCACACGTGGGCTGGAATGTCCCGGGACCCCCAGGCCAGGAC CTTGCTGTGGAAACTCTTCTGGGGCCCCGGGGGGACTACCCTGCCTGCCGTGTGCATTGCAGGAGTGTGACGTCATGACCTACGTGAGGGAGACCTGCGGGT CTGCGGTGAGGCACTGCCCACGGCAGGGTCGGGGCCCATGCACCGGGTGGAGGGCGGGAGTGCAGCAGGGCTGGGTCATCGCTGGGTCCTGCATGTGCACGT ACCCTAGGGTCTGAGGTCTCCCCGGTACCCCCCGATGACCCTGCCACCCCCCCAGACTGTGAGAAGCGCTGTGGCGCCCTGGACGTGGTCTTCGTCATCGAC GCTCCGAGAGCATTGGGTACACCAACTTCACACTGGAGAAGAACTTCGTCATCAACGTGGTCAACAGGCTGGGTGCCATCGCTAAGGACCCCAAGTCCGAGAC AGGTCAGCGGGGCAGGGGCGGGTGCAGCATTGCGGGGGGCCGGGCGGGGCGTGGGAGGCGATGAGATGGGAGAAGTCCAGACGCGTCCCTCCAACGAGGGCCT CTGCATGGCTGGGGATGCCCCAGACCCCGAGGCCTCTGGCAACGACCTCACGCGTGCGGCTTGCAGGGACGCGTGTGGGCGTGGTGCAGTACAGCCACGAGG CACCTTTGAGGCCATCCAGCTGGACGACGAACGTATCGACTCCCTGTCGAGCTTCAAGGAGGCTGTCAAGAACCTCGAGTGGATTGCGGGCGGCACCTGGAC CCCTCAGCCCTCAAGTTTGCCTACGACCGCCTCATCAAGGAGAGCCGGCGCCAGAAGACACGTGTGTTTGCGGTGGTCATCACGGACGGGCGCCACGACCCTC GGGACGATGACCTCAACTTGCGGGCGCTGTGCGACCGCGACGTCACAGTGACGGCCATCGGCATCGGGGACATGTTCCACGAGAAGCACGAGAGTGAAAACCT
CTACTCCATCGCCTGCGACAAGCCACAGCAGGTGCGCAACATGACGCTGTTCTCCGACCTGGTCGCTGAGAAGTTCATCGATGACATGGAGGACGTCCTCTGC CCGGGTGAGCGTGTGGGCGCGGGGCAGTCGGCCGAGGAGCAGCAGGCCCCAGCCGCTGTCTAGCGTGAGCCCCAGGGACACCCCTCACCTGAGGGATGAATGT GCAGCCCAGGATCTTGGGCTGTGGGTGGGAAGGGGTCGGGCCCTCTCGGGGCTGCAGGGCAGAGGCCAGCTGCACCCTGAGCCTGTCTAGGCAGATCAGTGA CGGCCGCTGAGGGTTCGCTAGGGACTGACCCTGGCCTGGCCCGGCCTCTCTCCTCTCTTCCAGACCCTCAGATCGTGTGCCCAGACCTTCCCTGCCAAACAG TAATGCAGGGCACCCTGAGCCACCACCCCAGACTAGCAAAGCAGCCCTGGTGTCCTTCCTCCTCGAGGGCCGGGCTGGGGGAGGGGCCGTGCAGGGACCCGG GGGCGGCGGAGCCAC GCGGAGGC GC CC AGGGAGA GGCCCCAGGA GGCAGCACAGGGGAGGAGGGGC GGGGAAGGCAGGC CCCAGGAACGCAG AACAGCATCACGAGGCCATGAGGTGGGTGCTGCTAGCCTGGCGCTGTGCTCGGCATGTGGCCACTGGTCTTGAAGGCCCACCATGGGCCTTGCAGTCTCCCTC AGCTGCCGCCCAGCTCCCATGGGCTGGCCGTGCATGTGCCACTCGGAGGAAGCCCTGGATTCAGTGAGTGAAACCATCCCGGGGTGGAAGCACTGACACCCCC CAGCACCAGCAGGTCTTGCTCCAACCCTGGCCTGCCTCGGAGCTGCAGCTGCGGCTCTCACATCTCTGGGAGTGGGGGAGCCCATGTCCCGGATGTGGCCCAC GTGGGTGTGAAGCTGGAGCTGGGGGTGCCGTCCAGGCTCTGCTGGACGTGGTGCTGCCCCCATGGTGCACTGCTGCACCGTACCTGGGCCCACAGGAGGTCCC CGGGGGCGTTAGGAGCTGAGTCCCCCTCAGTGAGCCGTCCCCTCCAGGAGTGTGAGGGTAGGGATGCCATGGAGACAGGGTGGGAGGGTCCGACCTGGAGGAC CACAGGGAGGAAACCTCAGGGTCTGCGGTACGAAGTCAGCGCTTCCTCAGCACGCGGGTCGCGGTGTGCGTTCGGGCGTTCCATGGGGAGCTCCCGGTGGGT AGCTGGGCCACTGAGCACATTCACAGGCCCTGAGGCTGCCCCAGGGGAGGAGCCGTGGACTCAGAGCCGAGGTTCCCCATACGTGCTGCGACAGAGAACCTA GGCTTGCACCTGGGTCTGGCTGCCCTTCAGCAGGCGGGCAGCCTCTGGCCCCACAACAGTGGGCTGTGCTTCTGCCGCCAAGGTGCAGGCGTCCTCCCCCAG GTCCACATCAGCAGCAGGGGCACCTGGACCCTGAGGGCAGGAACCAGACCTTGGCTCCTCCACCCACCCCCTCGTTCCTGATGGGGCAGGGAAGTCTCGGGAC CCCATGATGGGCGACATGGCGATGGTCACTGTGGGTGCTTTGCTATCAGGTGGGGGGCCTTCCTCTCCACTCTGGGTCCAGTGTGAGTGGCCGCTATGGCTTC CCCTCCACTCCAGGTTCTATCGTGAGTGGGTGGGTGCTGCGTCTGTGGATGTCACGTGACCTTTCCTCTTTAGCCTATCATTGTAGTTGGGAGTTAGTTAGCC CGTTGAGCGTCATTGAATTTCCAGTGTTGAGCCAGCCCTGCGTGCCCGGGATAAACCCACCTGGCCGTGGTGTGTGGCCCTGTTTATGCACGTGGGCCCTGAT TCGCTGATGCCTGCCTGAGGGTTTGCGCTTATCGGCGACATCAGCCTGCACTTTTCTTTTCTCGTGATCTCTCTGGTTCTGGCCTCAGGGTGACGTGGGCCTC GTAGGGTCCTGTGGTGGCTCCTCCCCAGACGGTGACATGGAGTGAGCCCATTCTCCCTCCTGGGAGTGGGTCACTCAGGCCACCAGAGCACCACAGGGAAAGC AGCCAGGGAGGACACGGAGGCCCTTGAAGCTCTGGCCTCTTCTGAGGCCTCCAGGACCTGACAGTGAGTGGGAGCAGCCCTGGCAGAACCCCTCCCCTCCTCT CGGCCGCCCTGACACCTCATCCCCGACACTCAGAGCTCATCCTCCTTCCCAGCTGTTTCCAATTTCAAAGTGAACTCGACCTTGTGGCTCCAGGAGATGCAGC AGGGACAGTGTTAAATCGGCTTTCACCAGCCCACACGGCCAGGCATCCTCCTCGGCCCTCCTGGGCACTGGGTGGACACCACTGGCTGTGGCCTGGCCCTGGC CTTCTCCAGACAGCCCTGTCCACCCCAAAGCCCAGCCACCCTGGGCCTGCAGCAGGCCTGTGGAGTTCTCAGTTGCGTGGGGACCAGAGGGTGCTGGAGAAAC AAACCAGACGCAGCTGAAGGCAGTCAGGGCAGGGCGCAATCAGCGATAAGAGCTGCATAGGGGCCACAGCGTAACCTGAGCTCCAGTCGGTGGAAAGAAAAG CAGAGACGTTGCAGAGGCCAGGTCTGCTCAGGGGAAGACAGTTCTGGGTGTAGAGGACTCACATCCCAGAGAGGCTGAGGAAGGGTTTACCACCGCAAGCTTT CTCAGGCGGGCTCTTGAGGGGTGGCTGGGGTCTTCCTGGCGACGGGCCTGCGGCACTGGAAGCCCTACTGGAGTTTGGCCTGTCTCCGGCACAGGTTTGGAC GAGCTGTTTTGTGCTGAAAGGTTTTCTCGGGGTCCGTGGTGTCCCCCAAAGGTGCCACCGTGCGGGTCTCCTAGCTCCCTGCCAGCTTCCTGTCCCTGTGCTC ACTGCCCCCACGCCTCCTGCCAAGGCCGAGCCACACACCCGCTCCACCTGCATTTCCTCTACCGACTCGCCAGCCCAAATGCCGCTCTTCACTCTGGCCTCGC TGAGCGGCTGCCCGAGGAGGAGCTCTAGGCCGACGCCCACCGCAGGCCTTACAGTCTTCTCTGGACGCTCCCTTGCAGATGCACCGTGGCCTGGCGGCGAGCC CCCGGTCACCTTCCTCCGCACGGAAGAGGGGCCGGACGCCACCTTCCCCAGGACCATTCCCCTGATCCAACAGTTGCTAAACGCCACGGAGCTCACGCAGGAC CCGGCCGCCTACTCCCAGCTGGTGGCCGTGCTGGTCTACACCGCCGAGCGGGCCAAGTTCGCCACCGGGGTAGAGCGGCAGGACTGGATGGAGCTGTTCATT ACACCTTTAAGCTGGTGCACAGGGACATCGTGGGGGACCCCGAGACCGCGCTGGCCCTCTGCTAAAGCCCGGGCACCCGCCCAGCCGGGCTGGGCCCTCCCT CCACACTAGCTTCCCAGGGCTGCCCCCGACAGGCTGGCTCTCAGTGGAGGCCAGAGATCTGGAATCGGGGTCAGCGGGGCTACAGTCCTTCCAGGGGCTCTG GGCAGCTCCCAGCCTCTTCCCATGCTGGTGGCCACCGTGTCCCTTGCTGCGGCTGCATCTTCCAGTCTCTCCTCCGTCTTCCTGTGGCCGCTCTCTTTATAA AACCCTGGTCATTGAATTTAAGGCCCACCCCAAGTCCAGAATGACCTCGCAAGACCCTTAACTCACTCCCGTCTGCAGAGTCCTTCTTTGCTGCATCAGGTC
CCCTCACAGGCTCCAGGGTTTGGGTGTGGAAGTCTTTGGAGGCCCTTACTTAGCGGCCCAGCTGGGCTGCCGTGCGTCTGGGATGGGGCTGAGGGAGGGTGCT GCCCAGGTGCTGGAGGATGTTCCAGCACCAGGTTCCAGCGGAGCCTCGGAAACAGGCCCCAGAGGCTGGTGAGCCTCGCTGGGTGTGGGCACTAATCCCGTGC ATGGTGACTCGTGGGCGCTCACGGCCCACCTGGTGGCAGGTGAAGGCTTCCGGTTGGGCAGCAGATAGTCCTGGGGGAAGCTGGCAGTCCTGGCACCATGAC TATCTGGGCTGGTGTCATGCACAGTAGGGCGAATGGCCACAGCTGCCTGCCAGCAGCCCTGATCCCGGGGTGTCTGCACCCTTCCAGCCCAACCTCTGGGTCT CCAAAAGCACAGTCGGGGGAGCATCCACCAGGCACAACCTCTGCGGTCCTCAGAGGACTGAGCAGAGAATCCCAGGGTCCACAATGTTGGGGAGCGGCAGGG TCACCATCCAAAGGGAGCGGCCCCCACGGCGAGCTGACCCCGACGTTCTGACTGCAGGAGCCCTCATCCAGGCTGGGCTCCTGCCGGGCACGGCTGTGACCAT TTCTCAGGGCCAGGTTCTCGTCCCCACACCCACTGCACAGGGCAGGCCAGGCTGGTCTTCCCACTGTGGGGATGAAGGATCCTCCACAGGAGGAGGAGAGCA AGTCCACAGACATCCCAACAGCCTCAGCCTCCCTGTGCCTGGCCGGCCCCCACAGCTTCCCCGTCTCCTCCAGGCCCCACAGACACTGATGAATGGACAGAG CCCCCAAAACCAGCTGCCCCTTGCATGTCTGTCTCCATATGTTTGGTGACAGCAGTGAAAATGTTATTAGTTTTGAGGGGGTTTGGGAAGCCCAGCGGTACCT GAGGAGTTTCTGGACATTTAAGCCGGTTCCTAGGTGTGGCCTTAACAGGGAGGCTGCCCTTCCTTTCACTGAATGAGCTGCGTCACTCATAAGCTCACTGAG GAACCCCATCTGCCAGCTCGTGCGTGCTCAGACGGCGTCCATGTCTCAAGCGTTCTGTGAAGGCTGCGGTGCAGCGTGAGGTCACCCTGCTGTGTTCAGAGCT TTGCTCACTGCCTGCGGGGCTGGACCGTTGCACCTCCAGGGCCCCCAGAAACCGAGTTTCGGGTCAGGGTCCTCTGTGTGCATTCCTGGGGGTCCATGTACC GCTGTGACGACGTCCAGGGGTTGGGCTGAGAAGCAGACACCCTTGGGGAAACTGGCTCTGTCCCTCCCCTCCCCCATCCCAGGAGCTGAGGTCTTGGTGAGGC CACAGGGCCAGGTCCACGCAAGGACTGTCCGTGTCCTGTCCTGTGGTCTCTGGCCCCACGTGACACCCACACGTGTGGTAGGCAGCCTGGCCTGGGTTGTGGC TATGGCCAGGCCCCCAAGCTGTCCCCGATGCCCAGGGCTGGTGACCACCCAGGCAGGTGGGGGCCCCACTTGGTAACAGAGTCATAGGGCAGAACCCACCTG GCTGCCACAGAAGGTCTGGCTGCCCCTGTGCCCACTGCTCCCCACCATGGCCAATCAGAAGAGTCAGGGGCTCCTGGTCTTTCCGGGAGGGACGTGGCCCAGC CAGCTCTAGGTGTTCTGAGCAGCTCTGGGACCCAGCGATTGAGGGGTCAGGCTGGGGGTGTCAGAGCCAGGGTCCTCCTTAAGTACCTCCCACACTACACAG CAGTGGCCCTTTTGTGGGCAGCAAATTCTTGAGCCATGAAAGGATGCTTTGGGCCCCTTCCCTCCCAGGAGGGCAGCCTGTGCAGGGATGGTGCTCAGCAGGT GGACAGGGCCTGGGGCCTGTGTCAGGGTCTCAGGCCTGGGAGCACCAGCAGAGGAGATGGCGGCTCCCAGCAGTGCCGCCTGAAAGTGTCTTGGGCTAAGGAC CCACACCCAGGGCTGCCCTGCAGAAACGCCCCCGCAGAGCCCAGTGGTCTGTGAGGTTGCAGGCAGGGTGCGAATGGAAGGGCACAGGTGCGGGGCTGGCACC TGCCCGGTCCTGCCCACCTCCCCTCCGCCCAGCCCGCACCTGCGTCTCCCCACAGAGCTGTCCGTGGCACAGTGCACGCAGCGGCCCGTGGACATCGTCTTCC TGCTGGACGGCTCCGAGCGGCTGGGTGAGCAGAACTTCCACAAGGCCCGGCGCTTCGTGGAGCAGGTGGCGCGGCGGCTGACGCTGGCCCGGAGGGACGACG CCCTCTCAACGCACGCGTGGCGCTGCTGCAGTTTGGTGGCCCCGGCGAGCAGCAGGTGGCCTTCCCGCTGAGCCACAACCTCACGGCCATCCACGAGGCGCT GAGACCACACAATACCTGAACTCCTTCTCGCACGTGGGCGCAGGCGTGGTGCACGCCATCAATGCCATCGTGCGCAGCCCGCGTGGCGGGGCCCGGAGGCAC CAGAGCTGTCCTTCGTGTTCCTCACGGACGGCGTCACGGGCAACGACAGTCTGCACGAGTCGGCGCACTCCATGCGCAAGCAGAACGTGGTACCCACCGTGCT GGCCTTGGGCAGCGACGTGGACATGGACGTGCTCACCACGCTCAGCCTGGGTGACCGCGCCGCCGTGTTCCACGAGAAGGACTATGACAGCCTGGCGCAACCC GGCTTCTTCGACCGCTTCATCCGCTGGATCTGCTAGCGCCGCCGCCCGGGCCCCGCAGTCGAGGGTCGTGAGCCCACCCCGTCCATGGTGCTAAGCGGGCCC GGTCCCACACGGCCAGCACCGCTGCTCACTCGGACGACGCCCTGGGCCTGCACCTCTCCAGCTCCTCCCACGGGGTCCCCGTAGCCCCGGCCCCCGCCCAGCC CCAGGTCTCCCCAGGCCCTCCGCAGGCTGCCCGGCCTCCCTCCCCCTGCAGCCATCCCAAGGCTCCTGACCTACCTGGCCCCTGAGCTCTGGAGCAAGCCCT ACCCAATAAAGGCTTTGAACCCATTGCGTGCCTGCTTGCGAGCTTCTGTGCGCAGGAGAGACCTCAAAGGTGTCTTGTGGCCAGGAGGGAAACACTGCAGCT TCGCTCGCCCACCAGGGTCAATGGCTCCCCCGGGCCCAGCCCTGACCTCCTAGGACATCAACTGCAGGTGCTGGCTGACCCCGCCTGTGCAGACCCCACAGCC TTGATCAGCAAACTCTCCCTCCAGCCCCAGCCAGGCCCAAAGTGCTCTAAGAAGTGTCACCATGGCTGAGGGTCTTCTGTGGGTGGACGCATGATTAACACT GACGGGGAGACAGCAGGTGCTGAGCCTGTTGTGTTCTGTGTGGAGATCTCAGTGAGTTTTTGCTGTTCAGACCCCAGGGTCCTTCAGGCTCAGCTCAGGAGCC CCACAGTGAACCAGAGGCTCCACAGGCAGGTGCTGACCTGACAGGAGTGGGCTTGGTGGCCATCACAGGGCACCACAGACACAGCTTGAACAACTACCAGTAT CGGCCACAGGCCTGGAGGCATCAGCCGGGCCATGCTTCCTCTGGAGGGCTAGAGGAGGACTAGAGAAGGGCCTGCCCCGGCCTCTCCCCAGCATCCCAGGGTT CCTGATCTCCTGGATAAGGATACAAGTCACCACACTGGACTGGGGCTCAGCCTGCTCTAGAATACCTCACCTAAGTCACAGTGGACCAGGCTCAGCCTGCTCT
AAGGTGAGCT ACCCGAGACACTGGACCAGAGATCAGCCTATCCTGGGATAAGCTCACCCGAGTCACACTGGACCAGGGCTCAGCCTATTCCGGGATGAGCTC ACCCGAGTC
GACACTTCCATGACTGCAGCTGACCAGTCCACCTGCCAGCGGTTGACCACTCCCACTTCGCCAGCGACCGAAGGGGAGGGGAGGGGCCTCACCTGAGGGCAAC AGCAGAACCCACCACCTGGTCTTGCTTTACTCAGACCTGAGGGTGTGAAAGGTGCCCGTGACCTCCCGCATCAGGGAGCTGGCCGCCACCCTCGACTCCCGG GAGCAGGCGTCCCGCGACCCCCTCATCTACCAGGCCATCTGAGCTGGGCGGCGCCTCACCTCCGCTCCCGGGGGAGCCGGCCTCAGGGTAGGCATGCGCCCT
C21orf5 GGTGGGAGCAGGTCGTGGCCGCCGCCCTCCTGGCAGCTCTGGCTGAGCAGCCGCCGCAGCATCTGATTCTCCTTCAGGAGGCGCACCTGCTTCTTCAGGTCC
256
6 CGTTCTCGCTCAGGAGCCGGCTCATCAGCTCGCCGCCTTCAGCCATGGCGGGTGCGTCCCTCCTTGTCCCTCACGGCTCCTGCAGCCCCATGGAGGTGGGAGC
CCAGAGCCCGCAGGCACCACAGAAACAGCCCAGGCACGGAGTTCCGTAGCCACCACCGCCTTCCACGCCTTGTGATGTCACTGCCCTAGTGATGAGGTGCCC GCACCCTGCCTGCCCCCGCGATGGCTCATGGCCCCGTTGAGGCAGTGAAGCTGGAGGCCCGTGGCGTGCACAGGCAGCCACTCCCACATTATGACCAGGGCCC GAGAATGCCAAGGACATTAGGCAGCTACGGGATGTAGCGACTGTACTCCAAGAGGGGCGTCCAAGCCACTCCCCATTGA
AGGTGGAGGTTGCAGTGAGCCCTCCTCCCCTCCTCCCCCTTCCCTTCCCACCTCCCATGCCCCCCTTTCTTCCTCCCACTCCCCTCCCGAGGCCCCGCTTATT
C21orf5
257 CTCCCGGCCTGTGGCGGTTCGTGCACTCGCTGAGCTCAGGTTCTGGTGAAGGTGCCCGGAGCCGGGTCCCGCCTTCGGCCTGAGCTAGAGCCGCGCGGGCGGC 7
CGGCTTCCCCCAAACCCTGTGGGAGGGGCATCCCGAGGAGGCGACCCCAGAGAGTGGGGCGCGGACACCTTCCCTGGGGAGGGCCAG
CCTTCCAGATGTTCCAGAAGGAGAAGGCGGTGCTGGACGAGCTGGGCCGACGCACGGGGACCCGGCTGCAGCCCCTGACCCGGGGCCTCTTCGGAGGGAGCT AGGGCCGCGTTCCTTCTGAAAGCGGGACGCGGGAGGGGTGGAGGCTGCGGGGAGCCGGGGTCGCACACGAATAAATAACGAATGAACGTACGAGGGGAACCTC
C21orf5
258 CTCTTATTTCCTTCACGTTGCATCGGGTATTTTTCGTTATTGTAAATAAAACGGTTCCGAGCCGTGGCATCGAGAGGGCGTCTGGAGTTCAGGGAACGCGTG 7 CCCCCGCCCGGGAGCACCGCGCAGCGCTCGCCTCTCGCCCTTCAAGGGGGTCCCTGCCCGGAGCCTGCGCCCCCGGAGAGGAAGGGGCTCGAGGGGCTTGGGT
GCCGCAGCGCGTCCTTCCGTAGAAAAGGCTTGCGTCAGTATTTCCTGCTTTTACCTCCTGAG
CAGTATTTCCTGCTTTTACCTCCTGAGTATTGGAATATTCGAGTAAACCCTGGAGTTTCAGCGCCAGCGCACGCCTCTTCATCAGGGCAGCGCGTCGCGAGC
C21orf5 CGCTGGTTCCCCGGGGCCTCCCGGCCACGGACACCGCTCTAGCCAGGGCCACGGCGAGGCCGCCGAGCAGCACCTCAGAGACCTGCGTGAGTTCTAAAGCCT
259
7 GGGCTACTACAATTCTGCTCATCTGTTTGTCCTGTGAAATGATTCAGGGACATGAAAATGCCTTCCCACTGACTTGCGTCCTGTCTTAGCCTGGACTTGTCCC
CTTGGGAACACGGGCCAGGCCCCTCTGTTCCTGAAGT
ATGTCTGCAGGGAAGAAGCAGGGGGACCCTGAATAAAGTTTCCGTTTTTCCTATTTGTTAAAGTGATAGAGCATTATAGGACCAGAGAACAGGTGTGTCTGT CACTGTGCAGGTCCCCGGGGCAGGCTCTGAGTCCGTCTGCACACGGTGCGGGTCCCCGGGGCGCGCCCTGAGCCCGTCTGCACACGGTGCGGGTCCCCGGGGC
C21orf5
260 GCGCCCTGAGCCCGTCTGCACACGGTGCGGGTCCCCGGGGCGCGCCCTGAGCCCGTCTGCACACGGTGCGGGTCCCCGGGGCGCGCCCTGAGCCCGTCTGCAC 8
ACGGTGCGGGTCCCCGGGGCGCGCCCTGAGCCCGTCTGCACACGGTGCGGGTCCCCGGGGCGCGCCCTGAGCCCGTCTGTACACGGTGCGGGTCCCCGGGGC CGCCCTGAGTCTCTACTAAAAATACAAAAATTAGCCAGGCGTGGTGGTTCAAGCCTGTAATCCCAGCTCCTTGGGAGG
CATACATGGTTATTAGAAAAGGCATCTCATCCAAATGTGGTGGCTCGTGCTTGTAATCCCAGTGCTTCAGGAGGCCAAGGGAGGAGGATTACTTGAGCCTAA AGTTTGAGACCAGCCTGGGCAACACAACAAGACCTTGCCTCTACAAAAAACTTAAAAACTAGCTGGGTATGATGGTGCACACCTGTAGTCCCAGCTACTTGG AGGCGGAGGCGGGCAGATCGCCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGATGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGAGTGT GTGGTGCATGCCTGTAATCCCAGCTACTCAGGAGGCTGAGGCAGGAGAATCACTTGAACCCGGGAGGCGGAGGTTGCCATGAGCCGAGATCACGTCACTGCAC
261 P MT2 TCCAGCCTGGGTGACAGAGCACAAAAGACAGGCATGACTTTGTACTTAACTGCTCAGCTTTGTAATCACTGGGGGCCCAGATGCTCACTTGGATTCTAACTTT
GTTGGCATCTGGGCCTAAAAGCCGTGATGCAGGTGAGCAATGATGCAGAGGGCTCTGTGCGCCTGGCGGGCTCTGTTTGCCTGCTGGGCTCTGTGCGCCTGCT GGGCTCTGTGCGCCCGGGAAGGTGCGGCCACCCTCACGCGGAAGGCGGCCAGCGGATCCCGGTGCGCGCAGCTCCCAGCGCTGGGGTTCCAGCGCCCCGCCTC TTCCTATAGCAACCAGCGGGACCTGCCGTCCCCCGGGGCACCCCGAGGGGTCTGCGCCCGCTTCTTTCCGAAACGGGAAGGCGCTGGGGGCTCGGCAGCCAG GGGACGGGTTCAGGGAGCGTCCGGTGAGCCTAAGACGCGCCTTTGCCGGGGTTGCCGGGTGTCTGCCTCTCACTTAGGTATTAGGAACCGTGGCACAAATCT
TAGGTTTTCCTCTGGGGGTGGGCGGAGGCTCCAAACCGGACGGTTTTCTCCTGGAGGACTGTGTTCAGACAGATACTGGTTTCCTTATCCGCAGGTGTGCGC GCGCTCGCAAGTGGTCAGCATAACGCCGGGCGAATTCGGAAAGCCCGTGCGTCCGTGGACGACCCACTTGGAAGGAGTTGGGAGAAGTCCTTGTTCCCACGC CGGACGCTTCCCTCCGTGTGTCCTTCGAGCCACAAAAAGCCCAGACCCTAACCCGCTCCTTTCTCCCGCCGCGTCCATGCAGAACTCCGCCGTTCCTGGGAG GGAAGCCCGCGAGGCGTCGGGAGAGGCACGTCCTCCGTGAGCAAAGAGCTCCTCCGAGCGCGCGGCGGGGACGCTGGGCCGACAGGGGACCGCGGGGGCAGG CGGAGAGGACCCGCCCTCGAGTCGGCCCAGCCCTAACACTCAGGACCGCCTCCAGCCGGAGGTCTGCGCCCTTCTGAGGACCCTGCCTGGGGGAGCTTATTGC GGTTCTTTTGCAAATACCCGCTGCGCTTGGACGGAGGAAGCGCCCACGCGTCGACCCCGGAAACGAAGGCCTCCCTGATGGGAACGCATGCGTCCAGGAGCCT TTATTTACTCTTAATTCTGCCCGATGCTTGTACGTGTGTGAAATGCTTCAGATGCTTTTGGGAGCGAGGTGTTACATAAATCATGGAAATGCCTCCTGGTCTC ACCACACCCAGGGTGACAGCTGAGATGCGGCTTCTCCAGGGTGGAGCCTCCTCGTTTTCCAGAGCTGCTTGTTGAAGTCTTCCCAGGGCCCCTGACTTGCACT GGAAACTGCTCACCTTGGCATCGGGATGTGGAGCAAGAAATGCTTTTGTTTTCATTCATCCTAGTGTTCATAAAATGGAAAACAAATAAGGACATACAAAAAC ATTAATAAAATAAATTAATGGAACTAGATTTTTCAGAAAGCACAACAAACACAAAATCCAAGTATTGCCATGTCAGCAACACATTCCTACTTTAAGTTTTAT AAGTTAATTGGAGTAGTGGAGAACAAAAGTGGATGTGGGGCAG
* * *
The entirety of each patent, patent application, publication and document referenced herein hereby is incorporated by reference. Citation of the above patents, patent applications, publications and documents is not an admission that any of the foregoing is pertinent prior art, nor does it constitute any admission as to the contents or date of these publications or documents.
Modifications may be made to the foregoing without departing from the basic aspects of the technology. Although the technology has been described in su bstantial detail with reference to one or more specific embodiments, those of ordinary skill in the art will recognize that changes may be made to the
embodiments specifically disclosed in this application, yet these modifications and improvements are within the scope and spirit of the technology.
The technology illustratively described herein suitably may be practiced in the absence of any element(s) not specifically disclosed herein. Thus, for example, in each instance herein any of the terms "comprising," "consisting essentially of," and "consisting of" may be replaced with either of the other two terms. The terms and expressions which have been employed are used as terms of description and not of limitation, and use of such terms and expressions do not exclude any equivalents of the features shown and described or portions thereof, and various modifications are possible within the scope of the technology claimed. The term "a" or "an" can refer to one of or a plurality of the elements it modifies (e.g., "a reagent" can mean one or more reagents) unless it is contextually clear either one of the elements or more than one of the elements is described. The term "about" as used herein refers to a value within 10% of the underlying parameter (i.e., plus or minus 10%), and use of the term "about" at the beginning of a string of values modifies each of the values (i.e., "about 1, 2 and 3" refers to about 1, about 2 and about 3). For example, a weight of "about 100 grams" can include weights between 90 grams and 110 grams. Further, when a listing of values is described herein (e.g., about 50%, 60%, 70%, 80%, 85% or 86%) the listing includes all intermediate and fractional values thereof (e.g., 54%, 85.4%). Thus, it should be understood that although the present technology has been specifically disclosed by representative embodiments and optional features, modification and variation of the concepts herein disclosed may be resorted to by those skilled in the art, and such modifications and variations are considered within the scope of this technology.
Certain embodiments of the technology are set forth in the claims that follow.

Claims

What is claimed is:
1. A method for preparing fetal nucleic acid, which comprises:
a) providing a sample from a pregnant female;
b) separating fetal nucleic acid from maternal nucleic acid from the sample of the pregnant female according to a different methylation state between the fetal nucleic acid and the maternal nucleic acid counterpart, wherein the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 90-261; and
c) preparing nucleic acid comprising fetal nucleic acid by a process in which fetal nucleic acid separated in part (b) is utilized as a template.
2. The method of claim 1, wherein the fetal nucleic acid is separated from the maternal nucleic acid by an agent that specifically binds to methylated nucleotides.
3. The method of claim 2, wherein the agent that binds to methylated nucleotides is a methyl-CpG binding protein (MBD) or fragment thereof.
4. The method of claim 2, wherein the agent that binds to methylated nucleotides binds to methylated fetal nucleic acid.
5. The method of claim 2, wherein the agent that binds to methylated nucleotides binds to methylated maternal nucleic acid.
6. The method of claim 2, wherein the fetal nucleic acid is separated from the maternal nucleic acid by an agent that specifically binds to non-methylated nucleotides.
7. The method of claim 1, wherein the fetal nucleic acid is separated from the maternal nucleic acid by an agent that specifically digests non-methylated maternal nucleic acid.
8. The method of claim 7, wherein the agent that specifically digests non-methylated maternal nucleic acid is a methyaltion-sensitive restriction enzyme.
9. The method of claim 8, wherein two or more methyaltion-sensitive restriction enzymes are used in the same reaction.
10. The method of claim 1, wherein the process of step c) is an amplification reaction.
11. The method of claim 1 wherein the process of step c) is a method for determining the a bsolute amount of fetal nucleic acid.
12. The method of claim 1, wherein three or more of the polynucleotide sequences of SEQ ID NOs: 90-261 are prepared.
13. A method for determining the absolute amount of fetal nucleic acid in a maternal sample, wherein the maternal sample comprises differentially methylated maternal and fetal nucleic acid, comprising:
a) digesting the maternal nucleic acid in a maternal sample using one or more methylation sensitive restriction enzymes, thereby enriching the fetal nucleic acid, wherein the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 90- 261; and
b) determining the absolute amount of fetal nucleic acid from step a) using a non-polymorphic- based and non-bisulfite-based quantitative method.
14. The method of claim 13, wherein the absolute amount or concentration of fetal nucleic acid is used in conjunction with a diagnostic method to determine a fetal trait, wherein the diagnostic method requires a given absolute amount or concentration of fetal nucleic acid to meet certain clinical sensitivity or specificity requirements.
15. A method for determining the concentration of fetal nucleic acid in a maternal sample, wherein the maternal sample comprises differentially methylated maternal and fetal nucleic acid, comprising: a) determining the total amount of nucleic acid present in the maternal sample;
b) digesting the maternal nucleic acid in a maternal sample using a methylation sensitive restriction enzyme thereby enriching the fetal nucleic acid;
c) determining the amount of fetal nucleic acid from step b) using a non-polymorphic-based and non-bisulfite-based quantitative method, wherein the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 90-261; and
d) comparing the amount of fetal nucleic acid from step c) to the total amount of nucleic acid from step a), thereby determining the concentration of fetal nucleic acid in the maternal sample.
16. The method of claim 15, wherein the absolute amount or concentration of fetal nucleic acid is used in conjunction with a diagnostic method to determine a fetal trait, wherein the diagnostic method requires a given absolute amount or concentration of fetal nucleic acid to meet certain clinical sensitivity or specificity requirements.
17. A method for determining the presence or absence of a fetal aneuploidy using fetal nucleic acid from a maternal sample, wherein the maternal sample comprises differentially methylated maternal and fetal nucleic acid, comprising:
a) digesting the maternal nucleic acid in a maternal sample using a methylation sensitive restriction enzyme thereby enriching the fetal nucleic acid;
b) determining the amount of fetal nucleic acid from a target chromosome using a non- polymorphic-based and non-bisulfite-based quantitative method, wherein the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 164-261;
c) determining the amount of fetal nucleic acid from a reference chromosome using a non- polymorphic-based and non-bisulfite-based quantitative method, wherein the fetal nucleic acid comprises one or more CpG sites from one or more of the polynucleotide sequences of SEQ ID NOs: 90- 163;
d) comparing the amount of fetal nucleic acid from step b) to step c), wherein a statistically significant difference between the amount of target and reference fetal nucleic acid is indicative of the presence of a fetal aneuploidy.
18. The method of claim 17, wherein the amount of fetal nucleic acid at between 3 and 15 loci on each of the target chromosome and reference chromosome is determined.
19. The method of claim 13, 15 or 17, wherein the digestion efficiency of the methylation sensitive restriction enzyme is determined.
20. The method of claim 13, 15 or 17, wherein a non-polymorphic-based and non-bisulfite-based method for performing said quantification uses a competitor-based method to determine the amount of fetal nucleic acid.
21. The method of claim 13, 15 or 17, wherein the method further comprises determining the presence or a bsence of Y-chromosome nucleic acid present in a maternal sample.
22. The method of claim 21, wherein the amount of Y-chromosome nucleic acid present in a maternal sample is determined for a male fetus.
23. The method of claim 22, wherein the amount of fetal nucleic acid is compared to the amount of Y-chromosome nucleic acid.
24. The method of claim 13 or 15 , wherein the amount of fetal nucleic acid at 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 30, 40, 50 or more loci is determined.
25. The method of claim 13 or 17, wherein the total amount of nucleic acid present in a maternal sample is determined.
26. The method of claim 13, 15 or 17, wherein the total amount of nucleic acid and the amount of Y- chromosome nucleic acid for a male fetus are determined.
27. The method of claim 13, 15 or 17, wherein the total amount of nucleic acid, the amount of Y- chromosome nucleic acid for a male fetus, and the digestion efficiency of the methylation sensitive restriction enzyme are all determined.
28. The method of claim 27, wherein two or more assays are used to determine the total amount of nucleic acid, one or more assays are used to determine the amount of Y-chromosome nucleic acid for a male fetus, and one or more assays are used to determine the digestion efficiency of the methylation sensitive restriction enzyme.
29. The method of claim 28, wherein the amount of fetal nucleic acid at 3 or more loci is determined.
30. The method of claim 13, 15 or 17, wherein the amount of fetal nucleic acid is determined by an amplification reaction that generates amplicons larger than the average length of the digested maternal nucleic acid, thereby further enriching the fetal nucleic acid.
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